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Shachar Lovett
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- affiliation: University of California at San Diego, La Jolla, CA, USA
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Journal Articles
- 2024
- [j47]Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. TheoretiCS 3 (2024) - 2023
- [j46]Abhishek Bhowmick, Shachar Lovett:
Bias vs Structure of Polynomials in Large Fields, and Applications in Information Theory. IEEE Trans. Inf. Theory 69(2): 963-977 (2023) - 2022
- [j45]Xin Li, Shachar Lovett, Jiapeng Zhang:
Sunflowers and Robust Sunflowers from Randomness Extractors. Theory Comput. 18: 1-18 (2022) - [j44]Kaave Hosseini, Hamed Hatami, Shachar Lovett:
Sign-Rank vs. Discrepancy. Theory Comput. 18: 1-22 (2022) - 2021
- [j43]Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Decision List Compression by Mild Random Restrictions. J. ACM 68(6): 45:1-45:17 (2021) - [j42]Shachar Lovett:
Sparse MDS Matrices over Small Fields: A Proof of the GM-MDS Conjecture. SIAM J. Comput. 50(4): 1248-1262 (2021) - [j41]Alexander Knop, Shachar Lovett, Sam McGuire, Weiqiang Yuan:
Guest Column: Models of computation between decision trees and communication. SIGACT News 52(2): 46-70 (2021) - 2020
- [j40]Shachar Lovett, Sankeerth Rao, Alexander Vardy:
Probabilistic existence of large sets of designs. J. Comb. Theory A 176: 105286 (2020) - 2019
- [j39]Hamed Hatami, Pooya Hatami, Shachar Lovett:
Higher-order Fourier Analysis and Applications. Found. Trends Theor. Comput. Sci. 13(4): 247-448 (2019) - [j38]Daniel M. Kane, Shachar Lovett, Shay Moran:
Near-optimal Linear Decision Trees for k-SUM and Related Problems. J. ACM 66(3): 16:1-16:18 (2019) - [j37]Esther Ezra, Shachar Lovett:
On the Beck-Fiala conjecture for random set systems. Random Struct. Algorithms 54(4): 665-675 (2019) - [j36]Daniel Kane, Shachar Lovett, Sankeerth Rao:
The Independence Number of the Birkhoff Polytope Graph, and Applications to Maximally Recoverable Codes. SIAM J. Comput. 48(4): 1425-1435 (2019) - [j35]Nikhil Bansal, Daniel Dadush, Shashwat Garg, Shachar Lovett:
The Gram-Schmidt Walk: A Cure for the Banaszczyk Blues. Theory Comput. 15: 1-27 (2019) - [j34]Eshan Chattopadhyay, Pooya Hatami, Kaave Hosseini, Shachar Lovett:
Pseudorandom Generators from Polarizing Random Walks. Theory Comput. 15: 1-26 (2019) - [j33]Daniel Dadush, Shashwat Garg, Shachar Lovett, Aleksandar Nikolov:
Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem. Theory Comput. 15: 1-58 (2019) - 2018
- [j32]Benny Applebaum, Shachar Lovett:
Algebraic Attacks against Random Local Functions and Their Countermeasures. SIAM J. Comput. 47(1): 52-79 (2018) - [j31]Hamed Hatami, Kaave Hosseini, Shachar Lovett:
Structure of Protocols for XOR Functions. SIAM J. Comput. 47(1): 208-217 (2018) - [j30]Divesh Aggarwal, Yevgeniy Dodis, Shachar Lovett:
Non-Malleable Codes from Additive Combinatorics. SIAM J. Comput. 47(2): 524-546 (2018) - [j29]Abhishek Bhowmick, Shachar Lovett:
The List Decoding Radius for Reed-Muller Codes Over Small Fields. IEEE Trans. Inf. Theory 64(6): 4382-4391 (2018) - [j28]Shachar Lovett, Ryan O'Donnell:
Special Issue: CCC 2017: Guest Editor's Foreword. Theory Comput. 14(1): 1-2 (2018) - 2017
- [j27]Kaave Hosseini, Shachar Lovett:
On the structure of the spectrum of small sets. J. Comb. Theory A 148: 1-14 (2017) - [j26]Shachar Lovett:
Additive Combinatorics and its Applications in Theoretical Computer Science. Theory Comput. 8: 1-55 (2017) - 2016
- [j25]Shachar Lovett:
Communication is Bounded by Root of Rank. J. ACM 63(1): 1:1-1:9 (2016) - [j24]Mika Göös, Shachar Lovett, Raghu Meka, Thomas Watson, David Zuckerman:
Rectangles Are Nonnegative Juntas. SIAM J. Comput. 45(5): 1835-1869 (2016) - 2015
- [j23]Dmitry Gavinsky, Shachar Lovett, Michael E. Saks, Srikanth Srinivasan:
A tail bound for read-k families of functions. Random Struct. Algorithms 47(1): 99-108 (2015) - [j22]Shachar Lovett, Cristopher Moore, Alexander Russell:
Group representations that resist random sampling. Random Struct. Algorithms 47(3): 605-614 (2015) - [j21]Shachar Lovett, Raghu Meka:
Constructive Discrepancy Minimization by Walking on the Edges. SIAM J. Comput. 44(5): 1573-1582 (2015) - [j20]Shachar Lovett:
An Exposition of Sanders' Quasi-Polynomial Freiman-Ruzsa Theorem. Theory Comput. 6: 1-14 (2015) - 2014
- [j19]Zeev Dvir, János Kollár, Shachar Lovett:
Variety Evasive Sets. Comput. Complex. 23(4): 509-529 (2014) - [j18]Shachar Lovett:
Recent Advances on the Log-Rank Conjecture in Communication Complexity. Bull. EATCS 112 (2014) - [j17]Eli Ben-Sasson, Shachar Lovett, Noga Ron-Zewi:
An Additive Combinatorics Approach Relating Rank to Communication Complexity. J. ACM 61(4): 22:1-22:18 (2014) - [j16]Chaim Even-Zohar, Shachar Lovett:
The Freiman-Ruzsa theorem over finite fields. J. Comb. Theory A 125: 333-341 (2014) - [j15]Arman Fazeli, Shachar Lovett, Alexander Vardy:
Nontrivial t-designs over finite fields exist for all t. J. Comb. Theory A 127: 149-160 (2014) - [j14]Hamed Hatami, Shachar Lovett:
Correlation Testing for Affine Invariant Properties on 픽pn in the High Error Regime. SIAM J. Comput. 43(4): 1417-1455 (2014) - [j13]Abhishek Bhowmick, Zeev Dvir, Shachar Lovett:
New Bounds for Matching Vector Families. SIAM J. Comput. 43(5): 1654-1683 (2014) - 2013
- [j12]Shachar Lovett, Partha Mukhopadhyay, Amir Shpilka:
Pseudorandom generators for CC0[p] and the Fourier spectrum of low-degree polynomials over finite fields. Comput. Complex. 22(4): 679-725 (2013) - [j11]Shachar Lovett, Ely Porat:
A Space Lower Bound for Dynamic Approximate Membership Data Structures. SIAM J. Comput. 42(6): 2182-2196 (2013) - [j10]Noga Alon, Shachar Lovett:
Almost k-Wise vs. k-Wise Independent Permutations, and Uniformity for General Group Actions. Theory Comput. 9: 559-577 (2013) - 2012
- [j9]Ido Ben-Eliezer, Rani Hod, Shachar Lovett:
Random low-degree polynomials are hard to approximate. Comput. Complex. 21(1): 63-81 (2012) - [j8]Shachar Lovett, Emanuele Viola:
Bounded-Depth Circuits Cannot Sample Good Codes. Comput. Complex. 21(2): 245-266 (2012) - [j7]Shachar Lovett:
Equivalence of polynomial conjectures in additive combinatorics. Comb. 32(5): 607-618 (2012) - [j6]Tali Kaufman, Shachar Lovett, Ely Porat:
Weight Distribution and List-Decoding Size of Reed-Muller Codes. IEEE Trans. Inf. Theory 58(5): 2689-2696 (2012) - 2011
- [j5]Shachar Lovett, Roy Meshulam, Alex Samorodnitsky:
Inverse Conjecture for the Gowers Norm is False. Theory Comput. 7(1): 131-145 (2011) - [j4]Shachar Lovett:
Computing Polynomials with Few Multiplications. Theory Comput. 7(1): 185-188 (2011) - 2010
- [j3]Parikshit Gopalan, Amir Shpilka, Shachar Lovett:
The Complexity of Boolean Functions in Different Characteristics. Comput. Complex. 19(2): 235-263 (2010) - [j2]Shachar Lovett:
Holes in generalized Reed-Muller codes. IEEE Trans. Inf. Theory 56(6): 2583-2586 (2010) - 2009
- [j1]Shachar Lovett:
Unconditional Pseudorandom Generators for Low Degree Polynomials. Theory Comput. 5(1): 69-82 (2009)
Conference and Workshop Papers
- 2024
- [c87]Hamed Hatami, Kaave Hosseini, Shachar Lovett, Anthony Ostuni:
Refuting Approaches to the Log-Rank Conjecture for XOR Functions. ICALP 2024: 82:1-82:11 - [c86]Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. STOC 2024: 935-943 - [c85]Zander Kelley, Shachar Lovett, Raghu Meka:
Explicit Separations between Randomized and Deterministic Number-on-Forehead Communication. STOC 2024: 1299-1310 - 2023
- [c84]Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellért Weisz, Csaba Szepesvári:
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. COLT 2023: 1588-1617 - [c83]Shachar Lovett, Jiapeng Zhang:
Streaming Lower Bounds and Asymmetric Set-Disjointness. FOCS 2023: 871-882 - [c82]Shachar Lovett, Jiapeng Zhang:
Fractional Certificates for Bounded Functions. ITCS 2023: 84:1-84:13 - [c81]Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett:
Sampling Equilibria: Fast No-Regret Learning in Structured Games. SODA 2023: 3817-3855 - 2022
- [c80]Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. APPROX/RANDOM 2022: 16:1-16:24 - [c79]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan:
Computational-Statistical Gap in Reinforcement Learning. COLT 2022: 1282-1302 - [c78]Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. COLT 2022: 3015-3069 - [c77]Shachar Lovett, Raghu Meka, Ian Mertz, Toniann Pitassi, Jiapeng Zhang:
Lifting with Sunflowers. ITCS 2022: 104:1-104:24 - [c76]Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
High Dimensional Expanders: Eigenstripping, Pseudorandomness, and Unique Games. SODA 2022: 1069-1128 - [c75]Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on high dimensional expanders. STOC 2022: 185-194 - 2021
- [c74]Sankeerth Rao Karingula, Shachar Lovett:
Singularity of Random Integer Matrices with Large Entries. APPROX-RANDOM 2021: 33:1-33:16 - [c73]Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett, Abhishek Shetty:
Fractional Pseudorandom Generators from Any Fourier Level. CCC 2021: 10:1-10:24 - [c72]Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. COLT 2021: 2358-2387 - [c71]Simon S. Du, Sham M. Kakade, Jason D. Lee, Shachar Lovett, Gaurav Mahajan, Wen Sun, Ruosong Wang:
Bilinear Classes: A Structural Framework for Provable Generalization in RL. ICML 2021: 2826-2836 - [c70]Alexander Knop, Shachar Lovett, Sam McGuire, Weiqiang Yuan:
Log-rank and lifting for AND-functions. STOC 2021: 197-208 - 2020
- [c69]Hamed Hatami, Kaave Hosseini, Shachar Lovett:
Sign Rank vs Discrepancy. CCC 2020: 18:1-18:14 - [c68]Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan:
Noise-tolerant, Reliable Active Classification with Comparison Queries. COLT 2020: 1957-2006 - [c67]Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan:
Point Location and Active Learning: Learning Halfspaces Almost Optimally. FOCS 2020: 1034-1044 - [c66]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS 2020 - [c65]Max Hopkins, Daniel Kane, Shachar Lovett:
The Power of Comparisons for Actively Learning Linear Classifiers. NeurIPS 2020 - [c64]Eshan Chattopadhyay, Pooya Hatami, Kaave Hosseini, Shachar Lovett, David Zuckerman:
XOR lemmas for resilient functions against polynomials. STOC 2020: 234-246 - [c63]Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Decision list compression by mild random restrictions. STOC 2020: 247-254 - [c62]Ryan Alweiss, Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Improved bounds for the sunflower lemma. STOC 2020: 624-630 - 2019
- [c61]Shachar Lovett, Noam Solomon, Jiapeng Zhang:
From DNF Compression to Sunflower Theorems via Regularity. CCC 2019: 5:1-5:14 - [c60]Kaave Hosseini, Shachar Lovett, Grigory Yaroslavtsev:
Optimality of Linear Sketching Under Modular Updates. CCC 2019: 13:1-13:17 - [c59]Arkadev Chattopadhyay, Shachar Lovett, Marc Vinyals:
Equality Alone Does not Simulate Randomness. CCC 2019: 14:1-14:11 - [c58]Abhishek Bhrushundi, Kaave Hosseini, Shachar Lovett, Sankeerth Rao:
Torus Polynomials: An Algebraic Approach to ACC Lower Bounds. ITCS 2019: 13:1-13:16 - [c57]Eshan Chattopadhyay, Pooya Hatami, Shachar Lovett, Avishay Tal:
Pseudorandom Generators from the Second Fourier Level and Applications to AC0 with Parity Gates. ITCS 2019: 22:1-22:15 - [c56]Shachar Lovett, Jiapeng Zhang:
DNF sparsification beyond sunflowers. STOC 2019: 454-460 - 2018
- [c55]Xin Li, Shachar Lovett, Jiapeng Zhang:
Sunflowers and Quasi-Sunflowers from Randomness Extractors. APPROX-RANDOM 2018: 51:1-51:13 - [c54]Eshan Chattopadhyay, Pooya Hatami, Kaave Hosseini, Shachar Lovett:
Pseudorandom Generators from Polarizing Random Walks. CCC 2018: 1:1-1:21 - [c53]Marco L. Carmosino, Russell Impagliazzo, Shachar Lovett, Ivan Mihajlin:
Hardness Amplification for Non-Commutative Arithmetic Circuits. CCC 2018: 12:1-12:16 - [c52]Shachar Lovett:
MDS Matrices over Small Fields: A Proof of the GM-MDS Conjecture. FOCS 2018: 194-199 - [c51]Daniel M. Kane, Shachar Lovett, Shay Moran:
Generalized Comparison Trees for Point-Location Problems. ICALP 2018: 82:1-82:13 - [c50]Shachar Lovett, Sankeerth Rao, Alexander Vardy:
Probabilistic Existence of Large Sets of Designs. SODA 2018: 1545-1556 - [c49]Shachar Lovett, Avishay Tal, Jiapeng Zhang:
The Robust Sensitivity of Boolean Functions. SODA 2018: 1822-1833 - [c48]Daniel M. Kane, Shachar Lovett, Shay Moran:
Near-optimal linear decision trees for k-SUM and related problems. STOC 2018: 554-563 - [c47]Nikhil Bansal, Daniel Dadush, Shashwat Garg, Shachar Lovett:
The gram-schmidt walk: a cure for the Banaszczyk blues. STOC 2018: 587-597 - 2017
- [c46]Shachar Lovett, Jiapeng Zhang:
Noisy Population Recovery from Unknown Noise. COLT 2017: 1417-1431 - [c45]Daniel Kane, Shachar Lovett, Sankeerth Rao:
The Independence Number of the Birkhoff Polytope Graph, and Applications to Maximally Recoverable Codes. FOCS 2017: 252-259 - [c44]Daniel M. Kane, Shachar Lovett, Shay Moran, Jiapeng Zhang:
Active Classification with Comparison Queries. FOCS 2017: 355-366 - [c43]Shachar Lovett, Jiapeng Zhang:
On the Impossibility of Entropy Reversal, and Its Application to Zero-Knowledge Proofs. TCC (1) 2017: 31-55 - 2016
- [c42]Daniel Dadush, Shashwat Garg, Shachar Lovett, Aleksandar Nikolov:
Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem. APPROX-RANDOM 2016: 28:1-28:12 - [c41]Esther Ezra, Shachar Lovett:
On the Beck-Fiala Conjecture for Random Set Systems. APPROX-RANDOM 2016: 29:1-29:10 - [c40]Hamed Hatami, Kaave Hosseini, Shachar Lovett:
Structure of Protocols for XOR Functions. FOCS 2016: 282-288 - [c39]Divesh Aggarwal, Kaave Hosseini, Shachar Lovett:
Affine-malleable extractors, spectrum doubling, and application to privacy amplification. ISIT 2016: 2913-2917 - [c38]Benny Applebaum, Shachar Lovett:
Algebraic attacks against random local functions and their countermeasures. STOC 2016: 1087-1100 - 2015
- [c37]Yogesh Anbalagan, Hao Huang, Shachar Lovett, Sergey Norin, Adrian Vetta, Hehui Wu:
Large Supports are Required for Well-Supported Nash Equilibria. APPROX-RANDOM 2015: 78-84 - [c36]Abhishek Bhowmick, Shachar Lovett:
Nonclassical Polynomials as a Barrier to Polynomial Lower Bounds. CCC 2015: 72-87 - [c35]Shachar Lovett, Jiapeng Zhang:
Improved Noisy Population Recovery, and Reverse Bonami-Beckner Inequality for Sparse Functions. STOC 2015: 137-142 - [c34]Mika Göös, Shachar Lovett, Raghu Meka, Thomas Watson, David Zuckerman:
Rectangles Are Nonnegative Juntas. STOC 2015: 257-266 - [c33]Abhishek Bhowmick, Shachar Lovett:
The List Decoding Radius of Reed-Muller Codes over Small Fields. STOC 2015: 277-285 - 2014
- [c32]Yoram Bachrach, Omer Lev, Shachar Lovett, Jeffrey S. Rosenschein, Morteza Zadimoghaddam:
Cooperative weakest link games. AAMAS 2014: 589-596 - [c31]Dmitry Gavinsky, Shachar Lovett:
En Route to the Log-Rank Conjecture: New Reductions and Equivalent Formulations. ICALP (1) 2014: 514-524 - [c30]Divesh Aggarwal, Yevgeniy Dodis, Shachar Lovett:
Non-malleable codes from additive combinatorics. STOC 2014: 774-783 - [c29]Shachar Lovett:
Communication is bounded by root of rank. STOC 2014: 842-846 - 2013
- [c28]Hamed Hatami, Shachar Lovett:
Estimating the Distance from Testable Affine-Invariant Properties. FOCS 2013: 237-242 - [c27]Arnab Bhattacharyya, Eldar Fischer, Shachar Lovett:
Testing Low Complexity Affine-Invariant Properties. SODA 2013: 1337-1355 - [c26]Arnab Bhattacharyya, Eldar Fischer, Hamed Hatami, Pooya Hatami, Shachar Lovett:
Every locally characterized affine-invariant property is testable. STOC 2013: 429-436 - [c25]Abhishek Bhowmick, Zeev Dvir, Shachar Lovett:
New bounds for matching vector families. STOC 2013: 823-832 - 2012
- [c24]Noga Alon, Shachar Lovett:
Almost K-Wise vs. K-Wise Independent Permutations, and Uniformity for General Group Actions. APPROX-RANDOM 2012: 350-361 - [c23]Dmitry Gavinsky, Shachar Lovett, Srikanth Srinivasan:
Pseudorandom Generators for Read-Once ACC^0. CCC 2012: 287-297 - [c22]Zohar Shay Karnin, Edo Liberty, Shachar Lovett, Roy Schwartz, Omri Weinstein:
Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem. COLT 2012: 2.1-2.17 - [c21]Shachar Lovett, Raghu Meka:
Constructive Discrepancy Minimization by Walking on the Edges. FOCS 2012: 61-67 - [c20]Chris Beck, Russell Impagliazzo, Shachar Lovett:
Large Deviation Bounds for Decision Trees and Sampling Lower Bounds for AC0-Circuits. FOCS 2012: 101-110 - [c19]Eli Ben-Sasson, Shachar Lovett, Noga Ron-Zewi:
An Additive Combinatorics Approach Relating Rank to Communication Complexity. FOCS 2012: 177-186 - [c18]Zeev Dvir, Shachar Lovett:
Subspace evasive sets. STOC 2012: 351-358 - [c17]Greg Kuperberg, Shachar Lovett, Ron Peled:
Probabilistic existence of rigid combinatorial structures. STOC 2012: 1091-1106 - 2011
- [c16]Shachar Lovett, Srikanth Srinivasan:
Correlation Bounds for Poly-size $\mbox{\rm AC}^0$ Circuits with n 1 - o(1) Symmetric Gates. APPROX-RANDOM 2011: 640-651 - [c15]Shachar Lovett, Emanuele Viola:
Bounded-Depth Circuits Cannot Sample Good Codes. CCC 2011: 243-251 - [c14]Arkadev Chattopadhyay, Shachar Lovett:
Linear Systems over Finite Abelian Groups. CCC 2011: 300-308 - [c13]Tali Kaufman, Shachar Lovett:
New Extension of the Weil Bound for Character Sums with Applications to Coding. FOCS 2011: 788-796 - [c12]Hamed Hatami, Shachar Lovett:
Correlation testing for affine invariant properties on Fpn in the high error regime. STOC 2011: 187-194 - 2010
- [c11]Shachar Lovett, Partha Mukhopadhyay, Amir Shpilka:
Pseudorandom Generators for CC0[p] and the Fourier Spectrum of Low-Degree Polynomials over Finite Fields. FOCS 2010: 695-704 - [c10]Shachar Lovett, Ely Porat:
A Lower Bound for Dynamic Approximate Membership Data Structures. FOCS 2010: 797-804 - [c9]Tali Kaufman, Shachar Lovett, Ely Porat:
Weight Distribution and List-Decoding Size of Reed-Muller Codes. ICS 2010: 422-433 - 2009
- [c8]Ido Ben-Eliezer, Rani Hod, Shachar Lovett:
Random Low Degree Polynomials are Hard to Approximate. APPROX-RANDOM 2009: 366-377 - [c7]Shachar Lovett, Omer Reingold, Luca Trevisan, Salil P. Vadhan:
Pseudorandom Bit Generators That Fool Modular Sums. APPROX-RANDOM 2009: 615-630 - [c6]Parikshit Gopalan, Shachar Lovett, Amir Shpilka:
On the Complexity of Boolean Functions in Different Characteristics. CCC 2009: 173-183 - [c5]Yevgeniy Dodis, Yael Tauman Kalai, Shachar Lovett:
On cryptography with auxiliary input. STOC 2009: 621-630 - 2008
- [c4]Tali Kaufman, Shachar Lovett:
Worst Case to Average Case Reductions for Polynomials. FOCS 2008: 166-175 - [c3]Shachar Lovett:
Lower bounds for adaptive linearity tests. STACS 2008: 515-526 - [c2]Shachar Lovett, Roy Meshulam, Alex Samorodnitsky:
Inverse conjecture for the gowers norm is false. STOC 2008: 547-556 - [c1]Shachar Lovett:
Unconditional pseudorandom generators for low degree polynomials. STOC 2008: 557-562
Editorship
- 2022
- [e1]Shachar Lovett:
37th Computational Complexity Conference, CCC 2022, July 20-23, 2022, Philadelphia, PA, USA. LIPIcs 234, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2022, ISBN 978-3-95977-241-9 [contents]
Informal and Other Publications
- 2023
- [i145]Shachar Lovett, Jiapeng Zhang:
Streaming Lower Bounds and Asymmetric Set-Disjointness. CoRR abs/2301.05658 (2023) - [i144]Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Do PAC-Learners Learn the Marginal Distribution? CoRR abs/2302.06285 (2023) - [i143]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan, Csaba Szepesvári, Gellért Weisz:
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. CoRR abs/2302.12940 (2023) - [i142]Zander Kelley, Shachar Lovett, Raghu Meka:
Explicit separations between randomized and deterministic Number-on-Forehead communication. CoRR abs/2308.12451 (2023) - [i141]Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. CoRR abs/2311.09095 (2023) - [i140]Hamed Hatami, Kaave Hosseini, Shachar Lovett, Anthony Ostuni:
Refuting approaches to the log-rank conjecture for XOR functions. CoRR abs/2312.09400 (2023) - [i139]Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. Electron. Colloquium Comput. Complex. TR23 (2023) - [i138]Hamed Hatami, Kaave Hosseini, Shachar Lovett, Anthony Ostuni:
Refuting approaches to the log-rank conjecture for XOR functions. Electron. Colloquium Comput. Complex. TR23 (2023) - [i137]Zander Kelley, Shachar Lovett, Raghu Meka:
Explicit separations between randomized and deterministic Number-on-Forehead communication. Electron. Colloquium Comput. Complex. TR23 (2023) - [i136]Shachar Lovett, Jiapeng Zhang:
Streaming Lower Bounds and Asymmetric Set-Disjointness. Electron. Colloquium Comput. Complex. TR23 (2023) - 2022
- [i135]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan:
Computational-Statistical Gaps in Reinforcement Learning. CoRR abs/2202.05444 (2022) - [i134]Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. CoRR abs/2205.00644 (2022) - [i133]Shachar Lovett, Jiapeng Zhang:
Fractional certificates for bounded functions. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [i132]Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. CoRR abs/2102.05047 (2021) - [i131]Simon S. Du, Sham M. Kakade, Jason D. Lee, Shachar Lovett, Gaurav Mahajan, Wen Sun, Ruosong Wang:
Bilinear Classes: A Structural Framework for Provable Generalization in RL. CoRR abs/2103.10897 (2021) - [i130]Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. CoRR abs/2111.04746 (2021) - [i129]Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments. CoRR abs/2111.09444 (2021) - [i128]Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [i127]Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan:
Noise-tolerant, Reliable Active Classification with Comparison Queries. CoRR abs/2001.05497 (2020) - [i126]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a combinatorial characterization of bounded memory learning. CoRR abs/2002.03123 (2020) - [i125]Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Point Location and Active Learning: Learning Halfspaces Almost Optimally. CoRR abs/2004.11380 (2020) - [i124]Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett, Abhishek Shetty:
Fractional Pseudorandom Generators from Any Fourier Level. CoRR abs/2008.01316 (2020) - [i123]Alexander Knop, Shachar Lovett, Sam McGuire, Weiqiang Yuan:
Log-rank and lifting for AND-functions. CoRR abs/2010.08994 (2020) - [i122]Sankeerth Rao Karingula, Shachar Lovett:
Codes over integers, and the singularity of random matrices with large entries. CoRR abs/2010.12081 (2020) - [i121]Max Hopkins, Tali Kaufman, Shachar Lovett:
High Dimensional Expanders: Random Walks, Pseudorandomness, and Unique Games. CoRR abs/2011.04658 (2020) - [i120]Max Hopkins, Tali Kaufman, Shachar Lovett:
High Dimensional Expanders: Random Walks, Pseudorandomness, and Unique Games. Electron. Colloquium Comput. Complex. TR20 (2020) - [i119]Sankeerth Rao Karingula, Shachar Lovett:
Codes over integers, and the singularity of random matrices with large entries. Electron. Colloquium Comput. Complex. TR20 (2020) - [i118]Alexander Knop, Shachar Lovett, Sam McGuire, Weiqiang Yuan:
Log-rank and lifting for AND-functions. Electron. Colloquium Comput. Complex. TR20 (2020) - [i117]Shachar Lovett, Raghu Meka, Jiapeng Zhang:
Improved lifting theorems via robust sunflowers. Electron. Colloquium Comput. Complex. TR20 (2020) - 2019
- [i116]Shachar Lovett, Noam Solomon, Jiapeng Zhang:
From DNF compression to sunflower theorems via regularity. CoRR abs/1903.00580 (2019) - [i115]Max Hopkins, Daniel M. Kane, Shachar Lovett:
The Power of Comparisons for Actively Learning Linear Classifiers. CoRR abs/1907.03816 (2019) - [i114]Ryan Alweiss, Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Improved bounds for the sunflower lemma. CoRR abs/1908.08483 (2019) - [i113]Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Decision list compression by mild random restrictions. CoRR abs/1909.10658 (2019) - [i112]Ryan Alweiss, Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Improved bounds for the sunflower lemma. Electron. Colloquium Comput. Complex. TR19 (2019) - [i111]Eshan Chattopadhyay, Pooya Hatami, Kaave Hosseini, Shachar Lovett, David Zuckerman:
XOR Lemmas for Resilient Functions Against Polynomials. Electron. Colloquium Comput. Complex. TR19 (2019) - [i110]Hamed Hatami, Kaave Hosseini, Shachar Lovett:
Sign rank vs Discrepancy. Electron. Colloquium Comput. Complex. TR19 (2019) - [i109]Shachar Lovett, Noam Solomon, Jiapeng Zhang:
From DNF compression to sunflower theorems via regularity. Electron. Colloquium Comput. Complex. TR19 (2019) - [i108]Shachar Lovett, Kewen Wu, Jiapeng Zhang:
Decision list compression by mild random restrictions. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [i107]Shachar Lovett:
MDS matrices over small fields: A proof of the GM-MDS conjecture. CoRR abs/1803.02523 (2018) - [i106]Abhishek Bhrushundi, Kaave Hosseini, Shachar Lovett, Sankeerth Rao:
Torus polynomials: an algebraic approach to ACC lower bounds. CoRR abs/1804.08176 (2018) - [i105]Daniel M. Kane, Shachar Lovett, Shay Moran:
Generalized comparison trees for point-location problems. CoRR abs/1804.08237 (2018) - [i104]Kaave Hosseini, Shachar Lovett, Grigory Yaroslavtsev:
Optimality of Linear Sketching under Modular Updates. CoRR abs/1809.09063 (2018) - [i103]Abhishek Bhrushundi, Kaave Hosseini, Shachar Lovett, Sankeerth Rao:
Torus polynomials: an algebraic approach to ACC lower bounds. Electron. Colloquium Comput. Complex. TR18 (2018) - [i102]Marco Carmosino, Russell Impagliazzo, Shachar Lovett, Ivan Mihajlin:
Hardness Amplification for Non-Commutative Arithmetic Circuits. Electron. Colloquium Comput. Complex. TR18 (2018) - [i101]Eshan Chattopadhyay, Pooya Hatami, Kaave Hosseini, Shachar Lovett:
Pseudorandom Generators from Polarizing Random Walks. Electron. Colloquium Comput. Complex. TR18 (2018) - [i100]Eshan Chattopadhyay, Pooya Hatami, Shachar Lovett, Avishay Tal:
Pseudorandom generators from the second Fourier level and applications to AC0 with parity gates. Electron. Colloquium Comput. Complex. TR18 (2018) - [i99]Arkadev Chattopadhyay, Shachar Lovett, Marc Vinyals:
Equality Alone Does Not Simulate Randomness. Electron. Colloquium Comput. Complex. TR18 (2018) - [i98]Kaave Hosseini, Shachar Lovett:
A bilinear Bogolyubov-Ruzsa lemma with poly-logarithmic bounds. Electron. Colloquium Comput. Complex. TR18 (2018) - [i97]Kaave Hosseini, Shachar Lovett, Grigory Yaroslavtsev:
Optimality of Linear Sketching under Modular Updates. Electron. Colloquium Comput. Complex. TR18 (2018) - [i96]Daniel M. Kane, Shachar Lovett, Shay Moran:
Generalized comparison trees for point-location problems. Electron. Colloquium Comput. Complex. TR18 (2018) - [i95]Xin Li, Shachar Lovett, Jiapeng Zhang:
Sunflowers and Quasi-sunflowers from Randomness Extractors. Electron. Colloquium Comput. Complex. TR18 (2018) - [i94]Shachar Lovett:
A proof of the GM-MDS conjecture. Electron. Colloquium Comput. Complex. TR18 (2018) - [i93]Shachar Lovett, Jiapeng Zhang:
DNF sparsification beyond sunflowers. Electron. Colloquium Comput. Complex. TR18 (2018) - 2017
- [i92]Daniel M. Kane, Shachar Lovett, Sankeerth Rao:
Labeling the complete bipartite graph with no zero cycles. CoRR abs/1702.05773 (2017) - [i91]Daniel M. Kane, Shachar Lovett, Shay Moran, Jiapeng Zhang:
Active classification with comparison queries. CoRR abs/1704.03564 (2017) - [i90]Daniel M. Kane, Shachar Lovett, Shay Moran:
Near-optimal linear decision trees for k-SUM and related problems. CoRR abs/1705.01720 (2017) - [i89]Nikhil Bansal, Daniel Dadush, Shashwat Garg, Shachar Lovett:
The Gram-Schmidt Walk: A Cure for the Banaszczyk Blues. CoRR abs/1708.01079 (2017) - [i88]Daniel M. Kane, Shachar Lovett, Shay Moran:
Near-optimal linear decision trees for k-SUM and related problems. Electron. Colloquium Comput. Complex. TR17 (2017) - [i87]Daniel M. Kane, Shachar Lovett, Shay Moran, Jiapeng Zhang:
Active classification with comparison queries. Electron. Colloquium Comput. Complex. TR17 (2017) - [i86]Daniel M. Kane, Shachar Lovett, Sankeerth Rao:
Labeling the complete bipartite graph with no zero cycles. Electron. Colloquium Comput. Complex. TR17 (2017) - [i85]Shachar Lovett, Sankeerth Rao, Alexander Vardy:
Probabilistic Existence of Large Sets of Designs. Electron. Colloquium Comput. Complex. TR17 (2017) - [i84]Shachar Lovett, Jiapeng Zhang:
On the impossibility of entropy reversal, and its application to zero-knowledge proofs. IACR Cryptol. ePrint Arch. 2017: 922 (2017) - 2016
- [i83]Daniel Dadush, Shashwat Garg, Shachar Lovett, Aleksandar Nikolov:
Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem. CoRR abs/1612.04304 (2016) - [i82]Kaave Hosseini, Shachar Lovett:
Structure of protocols for XOR functions. Electron. Colloquium Comput. Complex. TR16 (2016) - [i81]Shachar Lovett:
The Fourier structure of low degree polynomials. Electron. Colloquium Comput. Complex. TR16 (2016) - [i80]Shachar Lovett, Jiapeng Zhang:
Noisy Population Recovery from Unknown Noise. Electron. Colloquium Comput. Complex. TR16 (2016) - [i79]Shachar Lovett, Jiapeng Zhang:
On the impossibility of entropy reversal, and its application to zero-knowledge proofs. Electron. Colloquium Comput. Complex. TR16 (2016) - [i78]Shachar Lovett, Jiapeng Zhang:
Robust sensitivity. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [i77]Yogesh Anbalagan, Hao Huang, Shachar Lovett, Sergey Norin, Adrian Vetta, Hehui Wu:
Large Supports are required for Well-Supported Nash Equilibria. CoRR abs/1504.03602 (2015) - [i76]Abhishek Bhowmick, Shachar Lovett:
Bias vs structure of polynomials in large fields, and applications in effective algebraic geometry and coding theory. CoRR abs/1506.02047 (2015) - [i75]Abhishek Bhowmick, Shachar Lovett:
Bias vs structure of polynomials in large fields, and applications in effective algebraic geometry and coding theory. Electron. Colloquium Comput. Complex. TR15 (2015) - [i74]Divesh Aggarwal, Kaave Hosseini, Shachar Lovett:
Affine-malleable Extractors, Spectrum Doubling, and Application to Privacy Amplification. Electron. Colloquium Comput. Complex. TR15 (2015) - [i73]Benny Applebaum, Shachar Lovett:
Algebraic Attacks against Random Local Functions and Their Countermeasures. Electron. Colloquium Comput. Complex. TR15 (2015) - [i72]Esther Ezra, Shachar Lovett:
On the Beck-Fiala Conjecture for Random Set Systems. Electron. Colloquium Comput. Complex. TR15 (2015) - [i71]Divesh Aggarwal, Kaave Hosseini, Shachar Lovett:
Affine-malleable Extractors, Spectrum Doubling, and Application to Privacy Amplification. IACR Cryptol. ePrint Arch. 2015: 1094 (2015) - 2014
- [i70]Russell Impagliazzo, Shachar Lovett, Ramamohan Paturi, Stefan Schneider:
0-1 Integer Linear Programming with a Linear Number of Constraints. CoRR abs/1401.5512 (2014) - [i69]Shachar Lovett:
Recent advances on the log-rank conjecture in communication complexity. CoRR abs/1403.8106 (2014) - [i68]Abhishek Bhowmick, Shachar Lovett:
List decoding Reed-Muller codes over small fields. CoRR abs/1407.3433 (2014) - [i67]Abhishek Bhowmick, Shachar Lovett:
Nonclassical polynomials as a barrier to polynomial lower bounds. CoRR abs/1412.4719 (2014) - [i66]Abhishek Bhowmick, Shachar Lovett:
Nonclassical polynomials as a barrier to polynomial lower bounds. Electron. Colloquium Comput. Complex. TR14 (2014) - [i65]Abhishek Bhowmick, Shachar Lovett:
List decoding Reed-Muller codes over small fields. Electron. Colloquium Comput. Complex. TR14 (2014) - [i64]Mika Göös, Shachar Lovett, Raghu Meka, Thomas Watson, David Zuckerman:
Rectangles Are Nonnegative Juntas. Electron. Colloquium Comput. Complex. TR14 (2014) - [i63]Hamed Hatami, Pooya Hatami, Shachar Lovett:
General systems of linear forms: equidistribution and true complexity. Electron. Colloquium Comput. Complex. TR14 (2014) - [i62]Russell Impagliazzo, Shachar Lovett, Ramamohan Paturi, Stefan Schneider:
0-1 Integer Linear Programming with a Linear Number of Constraints. Electron. Colloquium Comput. Complex. TR14 (2014) - [i61]Shachar Lovett:
Recent advances on the log-rank conjecture in communication complexity. Electron. Colloquium Comput. Complex. TR14 (2014) - [i60]Shachar Lovett:
Linear codes cannot approximate the network capacity within any constant factor. Electron. Colloquium Comput. Complex. TR14 (2014) - [i59]Shachar Lovett, Cristopher Moore, Alexander Russell:
Group representations that resist random sampling. Electron. Colloquium Comput. Complex. TR14 (2014) - [i58]Shachar Lovett, Jiapeng Zhang:
Improved noisy population recovery, and reverse Bonami-Beckner inequality for sparse functions. Electron. Colloquium Comput. Complex. TR14 (2014) - 2013
- [i57]Greg Kuperberg, Shachar Lovett, Ron Peled:
Probabilistic existence of regular combinatorial structures. CoRR abs/1302.4295 (2013) - [i56]Hamed Hatami, Shachar Lovett:
Estimating the distance from testable affine-invariant properties. CoRR abs/1306.0649 (2013) - [i55]Shachar Lovett:
Communication is bounded by root of rank. CoRR abs/1306.1877 (2013) - [i54]Divesh Aggarwal, Yevgeniy Dodis, Shachar Lovett:
Non-malleable Codes from Additive Combinatorics. Electron. Colloquium Comput. Complex. TR13 (2013) - [i53]Arman Fazeli, Shachar Lovett, Alexander Vardy:
Nontrivial t-designs over finite fields exist for all t. Electron. Colloquium Comput. Complex. TR13 (2013) - [i52]Dmitry Gavinsky, Shachar Lovett:
En Route to the log-rank Conjecture: New Reductions and Equivalent Formulations. Electron. Colloquium Comput. Complex. TR13 (2013) - [i51]Hamed Hatami, Shachar Lovett:
Estimating the distance from testable affine-invariant properties. Electron. Colloquium Comput. Complex. TR13 (2013) - [i50]Shachar Lovett:
Communication is bounded by root of rank. Electron. Colloquium Comput. Complex. TR13 (2013) - [i49]Divesh Aggarwal, Yevgeniy Dodis, Shachar Lovett:
Non-malleable Codes from Additive Combinatorics. IACR Cryptol. ePrint Arch. 2013: 201 (2013) - 2012
- [i48]Arnab Bhattacharyya, Eldar Fischer, Shachar Lovett:
Testing Low Complexity Affine-Invariant Properties. CoRR abs/1201.0330 (2012) - [i47]Zeev Dvir, János Kollár, Shachar Lovett:
Variety Evasive Sets. CoRR abs/1203.4532 (2012) - [i46]Shachar Lovett, Raghu Meka:
Constructive Discrepancy Minimization by Walking on The Edges. CoRR abs/1203.5747 (2012) - [i45]Abhishek Bhowmick, Zeev Dvir, Shachar Lovett:
New Lower Bounds for Matching Vector Codes. CoRR abs/1204.1367 (2012) - [i44]Dmitry Gavinsky, Shachar Lovett, Michael E. Saks, Srikanth Srinivasan:
A Tail Bound for Read-k Families of Functions. CoRR abs/1205.1478 (2012) - [i43]Arnab Bhattacharyya, Eldar Fischer, Hamed Hatami, Pooya Hatami, Shachar Lovett:
Every locally characterized affine-invariant property is testable. CoRR abs/1212.3849 (2012) - [i42]Chris Beck, Russell Impagliazzo, Shachar Lovett:
Large Deviation Bounds for Decision Trees and Sampling Lower Bounds for AC0-circuits. Electron. Colloquium Comput. Complex. TR12 (2012) - [i41]Arnab Bhattacharyya, Eldar Fischer, Hamed Hatami, Pooya Hatami, Shachar Lovett:
Every locally characterized affine-invariant property is testable. Electron. Colloquium Comput. Complex. TR12 (2012) - [i40]Arnab Bhattacharyya, Eldar Fischer, Shachar Lovett:
Testing Low Complexity Affine-Invariant Properties. Electron. Colloquium Comput. Complex. TR12 (2012) - [i39]Abhishek Bhowmick, Zeev Dvir, Shachar Lovett:
New Lower Bounds for Matching Vector Codes. Electron. Colloquium Comput. Complex. TR12 (2012) - [i38]Chaim Even-Zohar, Shachar Lovett:
The Freiman-Ruzsa Theorem in Finite Fields. Electron. Colloquium Comput. Complex. TR12 (2012) - [i37]Dmitry Gavinsky, Shachar Lovett, Michael E. Saks, Srikanth Srinivasan:
A Tail Bound for Read-k Families of Functions. Electron. Colloquium Comput. Complex. TR12 (2012) - [i36]Shachar Lovett:
An exposition of Sanders quasi-polynomial Freiman-Ruzsa theorem. Electron. Colloquium Comput. Complex. TR12 (2012) - 2011
- [i35]Hamed Hatami, Shachar Lovett:
Correlation Testing for Affine Invariant Properties on $\mathbb{F}_p^n$ in the High Error Regime. CoRR abs/1104.3335 (2011) - [i34]Edo Liberty, Shachar Lovett, Omri Weinstein:
On the Furthest Hyperplane Problem and Maximal Margin Clustering. CoRR abs/1107.1358 (2011) - [i33]Zeev Dvir, Shachar Lovett:
Subspace Evasive Sets. CoRR abs/1110.5696 (2011) - [i32]Greg Kuperberg, Shachar Lovett, Ron Peled:
Probabilistic existence of rigid combinatorial structures. CoRR abs/1111.0492 (2011) - [i31]Eli Ben-Sasson, Shachar Lovett, Noga Zewi:
An additive combinatorics approach to the log-rank conjecture in communication complexity. CoRR abs/1111.5884 (2011) - [i30]Noga Alon, Shachar Lovett:
Almost k-wise vs. k-wise independent permutations, and uniformity for general group actions. Electron. Colloquium Comput. Complex. TR11 (2011) - [i29]Eli Ben-Sasson, Shachar Lovett, Noga Zewi:
An additive combinatorics approach to the log-rank conjecture in communication complexity. Electron. Colloquium Comput. Complex. TR11 (2011) - [i28]Arkadev Chattopadhyay, Shachar Lovett:
Linear systems over abelian groups. Electron. Colloquium Comput. Complex. TR11 (2011) - [i27]Zeev Dvir, Shachar Lovett:
Subspace Evasive Sets. Electron. Colloquium Comput. Complex. TR11 (2011) - [i26]Hamed Hatami, Shachar Lovett:
Correlation testing for affine invariant properties on Fpn in the high error regime. Electron. Colloquium Comput. Complex. TR11 (2011) - [i25]Greg Kuperberg, Shachar Lovett, Ron Peled:
Probabilistic existence of rigid combinatorial structures. Electron. Colloquium Comput. Complex. TR11 (2011) - [i24]Shachar Lovett:
Computing polynomials with few multiplications. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [i23]Hamed Hatami, Shachar Lovett:
Higher-order Fourier analysis of Fpn and the complexity of systems of linear forms. Electron. Colloquium Comput. Complex. TR10 (2010) - [i22]Tali Kaufman, Shachar Lovett:
Testing of exponentially large codes, by a new extension to Weil bound for character sums. Electron. Colloquium Comput. Complex. TR10 (2010) - [i21]Shachar Lovett:
Equivalence of polynomial conjectures in additive combinatorics. Electron. Colloquium Comput. Complex. TR10 (2010) - [i20]Shachar Lovett:
An elementary proof of anti-concentration of polynomials in Gaussian variables. Electron. Colloquium Comput. Complex. TR10 (2010) - [i19]Shachar Lovett, Partha Mukhopadhyay, Amir Shpilka:
Pseudorandom generators for CC0[p] and the Fourier spectrum of low-degree polynomials over finite fields. Electron. Colloquium Comput. Complex. TR10 (2010) - [i18]Shachar Lovett, Ely Porat:
A lower bound for dynamic approximate membership data structures. Electron. Colloquium Comput. Complex. TR10 (2010) - [i17]Shachar Lovett, Emanuele Viola:
Bounded-depth circuits cannot sample good codes. Electron. Colloquium Comput. Complex. TR10 (2010) - 2009
- [i16]Shachar Lovett:
The density of weights of Generalized Reed--Muller codes. CoRR abs/0904.0811 (2009) - [i15]Ido Ben-Eliezer, Shachar Lovett, Ariel Yadin:
Polynomial Threshold Functions: Structure, Approximation and Pseudorandomness. CoRR abs/0911.3473 (2009) - [i14]Parikshit Gopalan, Shachar Lovett, Amir Shpilka:
On the Complexity of Boolean Functions in Different Characteristics. Electron. Colloquium Comput. Complex. TR09 (2009) - [i13]Shachar Lovett:
The density of weights of Generalized Reed-Muller codes. Electron. Colloquium Comput. Complex. TR09 (2009) - [i12]Shachar Lovett, Ido Ben-Eliezer, Ariel Yadin:
Title: Polynomial Threshold Functions: Structure, Approximation and Pseudorandomness. Electron. Colloquium Comput. Complex. TR09 (2009) - [i11]Shachar Lovett, Yoav Tzur:
Explicit lower bound for fooling polynomials by the sum of small-bias generators. Electron. Colloquium Comput. Complex. TR09 (2009) - 2008
- [i10]Shachar Lovett:
Lower bounds for adaptive linearity tests. CoRR abs/0802.2857 (2008) - [i9]Tali Kaufman, Shachar Lovett:
The List-Decoding Size of Reed-Muller Codes. CoRR abs/0811.2356 (2008) - [i8]Ido Ben-Eliezer, Rani Hod, Shachar Lovett:
Random low degree polynomials are hard to approximate. Electron. Colloquium Comput. Complex. TR08 (2008) - [i7]Shachar Lovett, Tali Kaufman:
Worst case to Average case reductions for polynomials. Electron. Colloquium Comput. Complex. TR08 (2008) - [i6]Shachar Lovett, Tali Kaufman:
The List-Decoding Size of Reed-Muller Codes. Electron. Colloquium Comput. Complex. TR08 (2008) - 2007
- [i5]Shachar Lovett, Sasha Sodin:
Almost Euclidean sections of the N-dimensional cross-polytope using O(N) random bits. CoRR abs/math/0701102 (2007) - [i4]Shachar Lovett:
Unconditional pseudorandom generators for low degree polynomials. Electron. Colloquium Comput. Complex. TR07 (2007) - [i3]Shachar Lovett:
Tight lower bounds for adaptive linearity tests. Electron. Colloquium Comput. Complex. TR07 (2007) - [i2]Shachar Lovett, Roy Meshulam, Alex Samorodnitsky:
Inverse Conjecture for the Gowers norm is false. Electron. Colloquium Comput. Complex. TR07 (2007) - [i1]Shachar Lovett, Sasha Sodin:
Almost Euclidean sections of the N-dimensional cross-polytope using O(N) random bits. Electron. Colloquium Comput. Complex. TR07 (2007)
Coauthor Index
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