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Joshua Brakensiek
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2020 – today
- 2024
- [j9]Joshua Brakensiek, Sami Davies:
Robust Factorizations and Colorings of Tensor Graphs. SIAM J. Discret. Math. 38(1): 883-916 (2024) - [c22]Joshua Brakensiek, Neng Huang, Uri Zwick:
Tight approximability of MAX 2-SAT and relatives, under UGC. SODA 2024: 1328-1344 - [c21]Joshua Brakensiek
, Manik Dhar
, Sivakanth Gopi
:
Generalized GM-MDS: Polynomial Codes Are Higher Order MDS. STOC 2024: 728-739 - [c20]Joshua Brakensiek
, Manik Dhar
, Sivakanth Gopi
, Zihan Zhang
:
AG Codes Achieve List Decoding Capacity over Constant-Sized Fields. STOC 2024: 740-751 - [i35]Joshua Brakensiek, Manik Dhar, Jiyang Gao, Sivakanth Gopi, Matt Larson:
Rigidity matroids and linear algebraic matroids with applications to matrix completion and tensor codes. CoRR abs/2405.00778 (2024) - 2023
- [j8]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
Conditional Dichotomy of Boolean Ordered Promise CSPs. TheoretiCS 2 (2023) - [c19]Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
Separating MAX 2-AND, MAX DI-CUT and MAX CUT. FOCS 2023: 234-252 - [c18]Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Improved Field Size Bounds for Higher Order MDS Codes. ISIT 2023: 1243-1248 - [c17]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
SDPs and Robust Satisfiability of Promise CSP. STOC 2023: 609-622 - [c16]Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Generic Reed-Solomon Codes Achieve List-Decoding Capacity. STOC 2023: 1488-1501 - [i34]Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Generalized GM-MDS: Polynomial Codes are Higher Order MDS. CoRR abs/2310.12888 (2023) - [i33]Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang:
AG codes achieve list decoding capacity over contant-sized fields. CoRR abs/2310.12898 (2023) - [i32]Joshua Brakensiek, Neng Huang, Uri Zwick:
Tight approximability of MAX 2-SAT and relatives, under UGC. CoRR abs/2310.12911 (2023) - 2022
- [j7]Joshua Brakensiek, Marijn Heule, John Mackey, David E. Narváez:
The Resolution of Keller's Conjecture. J. Autom. Reason. 66(3): 277-300 (2022) - [j6]Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
Constraint Satisfaction Problems with Global Modular Constraints: Algorithms and Hardness via Polynomial Representations. SIAM J. Comput. 51(3): 577-626 (2022) - [j5]Joshua Brakensiek
, Sivakanth Gopi
, Visu Makam
:
Lower Bounds for Maximally Recoverable Tensor Codes and Higher Order MDS Codes. IEEE Trans. Inf. Theory 68(11): 7125-7140 (2022) - [i31]Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Generic Reed-Solomon codes achieve list-decoding capacity. CoRR abs/2206.05256 (2022) - [i30]Joshua Brakensiek, Sami Davies:
Robust Factorizations and Colorings of Tensor Graphs. CoRR abs/2207.08913 (2022) - [i29]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
SDPs and Robust Satisfiability of Promise CSP. CoRR abs/2211.08373 (2022) - [i28]Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
Separating MAX 2-AND, MAX DI-CUT and MAX CUT. CoRR abs/2212.11191 (2022) - [i27]Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Improved Field Size Bounds for Higher Order MDS Codes. CoRR abs/2212.11262 (2022) - 2021
- [j4]Joshua Brakensiek, Venkatesan Guruswami:
Promise Constraint Satisfaction: Algebraic Structure and a Symmetric Boolean Dichotomy. SIAM J. Comput. 50(6): 1663-1700 (2021) - [j3]Joshua Brakensiek, Venkatesan Guruswami:
The Quest for Strong Inapproximability Results with Perfect Completeness. ACM Trans. Algorithms 17(3): 27:1-27:35 (2021) - [c15]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
Conditional Dichotomy of Boolean Ordered Promise CSPs. ICALP 2021: 37:1-37:15 - [c14]Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
On the Mysteries of MAX NAE-SAT. SODA 2021: 484-503 - [i26]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
Conditional Dichotomy of Boolean Ordered Promise CSPs. CoRR abs/2102.11854 (2021) - [i25]Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes. CoRR abs/2107.10822 (2021) - [i24]Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
Conditional Dichotomy of Boolean Ordered Promise CSPs. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [j2]Joshua Brakensiek, Venkatesan Guruswami, Marcin Wrochna
, Stanislav Zivný:
The Power of the Combined Basic Linear Programming and Affine Relaxation for Promise Constraint Satisfaction Problems. SIAM J. Comput. 49(6): 1232-1248 (2020) - [c13]Joshua Brakensiek, Marijn Heule
, John Mackey, David E. Narváez:
The Resolution of Keller's Conjecture. IJCAR (1) 2020: 48-65 - [c12]Shant Boodaghians, Joshua Brakensiek, Samuel B. Hopkins, Aviad Rubinstein:
Smoothed Complexity of 2-player Nash Equilibria. FOCS 2020: 271-282 - [c11]Joshua Brakensiek, Ray Li
, Bruce Spang:
Coded trace reconstruction in a constant number of traces. FOCS 2020: 482-493 - [c10]Joshua Brakensiek, Venkatesan Guruswami:
Symmetric Polymorphisms and Efficient Decidability of Promise CSPs. SODA 2020: 297-304 - [c9]Joshua Brakensiek, Aviad Rubinstein:
Constant-factor approximation of near-linear edit distance in near-linear time. STOC 2020: 685-698 - [i23]Shant Boodaghians, Joshua Brakensiek, Samuel B. Hopkins, Aviad Rubinstein:
Smoothed Complexity of 2-player Nash Equilibria. CoRR abs/2007.10857 (2020) - [i22]Joshua Brakensiek, Moses Charikar, Aviad Rubinstein:
A Simple Sublinear Algorithm for Gap Edit Distance. CoRR abs/2007.14368 (2020) - [i21]Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
On the Mysteries of MAX NAE-SAT. CoRR abs/2009.10677 (2020) - [i20]Joshua Brakensiek, Venkatesan Guruswami, Marcin Wrochna, Stanislav Zivný:
The Power of the Combined Basic LP and Affine Relaxation for Promise CSPs. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [c8]Joshua Brakensiek, Venkatesan Guruswami:
An Algorithmic Blend of LPs and Ring Equations for Promise CSPs. SODA 2019: 436-455 - [c7]Joshua Brakensiek, Venkatesan Guruswami:
Bridging between 0/1 and linear programming via random walks. STOC 2019: 568-577 - [c6]Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
CSPs with global modular constraints: algorithms and hardness via polynomial representations. STOC 2019: 590-601 - [i19]Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
CSPs with Global Modular Constraints: Algorithms and Hardness via Polynomial Representations. CoRR abs/1902.04740 (2019) - [i18]Joshua Brakensiek, Venkatesan Guruswami:
Bridging between 0/1 and Linear Programming via Random Walks. CoRR abs/1904.04860 (2019) - [i17]Joshua Brakensiek, Aviad Rubinstein:
Constant-factor approximation of near-linear edit distance in near-linear time. CoRR abs/1904.05390 (2019) - [i16]Joshua Brakensiek, Venkatesan Guruswami:
Symmetric Polymorphisms and Efficient Decidability of Promise CSPs. CoRR abs/1907.04383 (2019) - [i15]Joshua Brakensiek, Ray Li, Bruce Spang:
Coded trace reconstruction in a constant number of traces. CoRR abs/1908.03996 (2019) - [i14]Joshua Brakensiek, Marijn Heule, John Mackey:
The Resolution of Keller's Conjecture. CoRR abs/1910.03740 (2019) - [i13]Joshua Brakensiek, Venkatesan Guruswami:
Bridging between 0/1 and Linear Programming via Random Walks. Electron. Colloquium Comput. Complex. TR19 (2019) - [i12]Joshua Brakensiek, Sivakanth Gopi, Venkatesan Guruswami:
CSPs with Global Modular Constraints: Algorithms and Hardness via Polynomial Representations. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [j1]Joshua Brakensiek, Venkatesan Guruswami
, Samuel Zbarsky:
Efficient Low-Redundancy Codes for Correcting Multiple Deletions. IEEE Trans. Inf. Theory 64(5): 3403-3410 (2018) - [c5]Joshua Brakensiek, Venkatesan Guruswami:
Promise Constraint Satisfaction: Structure Theory and a Symmetric Boolean Dichotomy. SODA 2018: 1782-1801 - [i11]Joshua Brakensiek, Venkatesan Guruswami:
An Algorithmic Blend of LPs and Ring Equations for Promise CSPs. CoRR abs/1807.05194 (2018) - [i10]Joshua Brakensiek, Venkatesan Guruswami:
Combining LPs and Ring Equations via Structured Polymorphisms. Electron. Colloquium Comput. Complex. TR18 (2018) - 2017
- [c4]Joshua Brakensiek, Venkatesan Guruswami:
The Quest for Strong Inapproximability Results with Perfect Completeness. APPROX-RANDOM 2017: 4:1-4:20 - [c3]Joshua Brakensiek:
Vertex Isoperimetry and Independent Set Stability for Tensor Powers of Cliques. APPROX-RANDOM 2017: 33:1-33:15 - [i9]Joshua Brakensiek:
Vertex isoperimetry and independent set stability for tensor powers of cliques. CoRR abs/1702.04432 (2017) - [i8]Joshua Brakensiek, Venkatesan Guruswami:
Promise Constraint Satisfaction: Algebraic Structure and a Symmetric Boolean Dichotomy. CoRR abs/1704.01937 (2017) - [i7]Joshua Brakensiek, Venkatesan Guruswami:
The Quest for Strong Inapproximability Results with Perfect Completeness. Electron. Colloquium Comput. Complex. TR17 (2017) - [i6]Joshua Brakensiek, Venkatesan Guruswami:
A Family of Dictatorship Tests with Perfect Completeness for 2-to-2 Label Cover. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c2]Joshua Brakensiek, Venkatesan Guruswami:
New Hardness Results for Graph and Hypergraph Colorings. CCC 2016: 14:1-14:27 - [c1]Joshua Brakensiek, Venkatesan Guruswami, Samuel Zbarsky:
Efficient Low-Redundancy Codes for Correcting Multiple Deletions. SODA 2016: 1884-1892 - [i5]Joshua Brakensiek, Venkatesan Guruswami:
New hardness results for graph and hypergraph colorings. Electron. Colloquium Comput. Complex. TR16 (2016) - [i4]Joshua Brakensiek, Venkatesan Guruswami:
Promise Constraint Satisfaction: Algebraic Structure and a Symmetric Boolean Dichotomy. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [i3]Joshua Brakensiek, Venkatesan Guruswami, Samuel Zbarsky:
Efficient Low-Redundancy Codes for Correcting Multiple Deletions. CoRR abs/1507.06175 (2015) - [i2]Joshua Brakensiek, Venkatesan Guruswami, Samuel Zbarsky:
Efficient Low-Redundancy Codes for Correcting Multiple Deletions. Electron. Colloquium Comput. Complex. TR15 (2015) - 2013
- [i1]Joshua Brakensiek, Aaron Potechin:
Bounds on the Size of Sound Monotone Switching Networks Accepting Permutation Sets of Directed Trees. CoRR abs/1301.3780 (2013)
Coauthor Index
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last updated on 2024-06-25 21:53 CEST by the dblp team
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