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Journal Articles
- 2024
[j12]Jayadev Acharya
, Clément L. Canonne, Aditya Vikram Singh, Himanshu Tyagi:
Optimal Rates for Nonparametric Density Estimation Under Communication Constraints. IEEE Trans. Inf. Theory 70(3): 1939-1961 (2024)- 2022
- [j11]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference Under Information Constraints. IEEE Trans. Inf. Theory 68(1): 502-516 (2022) - 2021
- [j10]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi:
Inference Under Information Constraints III: Local Privacy Constraints. IEEE J. Sel. Areas Inf. Theory 2(1): 253-267 (2021) - 2020
- [j9]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality 10(2) (2020) - [j8]Jayadev Acharya, Ibrahim Issa, Nirmal V. Shende, Aaron B. Wagner:
Estimating Quantum Entropy. IEEE J. Sel. Areas Inf. Theory 1(2): 454-468 (2020) - [j7]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference Under Information Constraints I: Lower Bounds From Chi-Square Contraction. IEEE Trans. Inf. Theory 66(12): 7835-7855 (2020) - [j6]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference Under Information Constraints II: Communication Constraints and Shared Randomness. IEEE Trans. Inf. Theory 66(12): 7856-7877 (2020) - 2018
- [j5]Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Maximum Selection and Sorting with Adversarial Comparators. J. Mach. Learn. Res. 19: 59:1-59:31 (2018) - [j4]Jayadev Acharya, Clément L. Canonne, Gautam Kamath:
A Chasm Between Identity and Equivalence Testing with Conditional Queries. Theory Comput. 14(1): 1-46 (2018) - 2017
- [j3]Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, Himanshu Tyagi:
Estimating Renyi Entropy of Discrete Distributions. IEEE Trans. Inf. Theory 63(1): 38-56 (2017) - 2015
- [j2]Jayadev Acharya, Hirakendu Das, Olgica Milenkovic, Alon Orlitsky, Shengjun Pan:
String Reconstruction from Substring Compositions. SIAM J. Discret. Math. 29(3): 1340-1371 (2015) - 2008
- [j1]Siddharth Arora, Jayadev Acharya, Amit Verma, Prasanta K. Panigrahi:
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm. Pattern Recognit. Lett. 29(2): 119-125 (2008)
Conference and Workshop Papers
- 2024
- [c63]Yuhan Liu, Jayadev Acharya:
The role of randomness in quantum state certification with unentangled measurements. COLT 2024: 3523-3555 - 2023
- [c62]Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS 2023: 8561-8585 - [c61]Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun:
Sample Complexity of Distinguishing Cause from Effect. AISTATS 2023: 10487-10504 - [c60]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints. NeurIPS 2023 - [c59]Jimmy Z. Di, Jack Douglas, Jayadev Acharya, Gautam Kamath, Ayush Sekhari:
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. NeurIPS 2023 - 2022
- [c58]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. COLT 2022: 130-166 - [c57]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi, Ziteng Sun:
The Role of Interactivity in Structured Estimation. COLT 2022: 1328-1355 - 2021
- [c56]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. ALT 2021: 48-78 - [c55]Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. ALT 2021: 79-98 - [c54]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. ICML 2021: 43-53 - [c53]Sourbh Bhadane, Aaron B. Wagner, Jayadev Acharya:
Principal Bit Analysis: Autoencoding with Schur-Concave Loss. ICML 2021: 852-862 - [c52]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. ISIT 2021: 326-331 - [c51]Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi:
Information-constrained optimization: can adaptive processing of gradients help? NeurIPS 2021: 7126-7138 - [c50]Ayush Sekhari, Jayadev Acharya, Gautam Kamath, Ananda Theertha Suresh:
Remember What You Want to Forget: Algorithms for Machine Unlearning. NeurIPS 2021: 18075-18086 - [c49]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. NeurIPS 2021: 18920-18931 - [c48]Jayadev Acharya, Clément L. Canonne, Aditya Vikram Singh, Himanshu Tyagi:
Optimal Rates for Nonparametric Density Estimation under Communication Constraints. NeurIPS 2021: 26754-26766 - 2020
- [c47]Jayadev Acharya, Ananda Theertha Suresh:
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. ALT 2020: 3-21 - [c46]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. COLT 2020: 3-40 - [c45]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Distributed Signal Detection under Communication Constraints. COLT 2020: 41-63 - [c44]Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context Aware Local Differential Privacy. ICML 2020: 52-62 - 2019
- [c43]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS 2019: 1120-1129 - [c42]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Himanshu Tyagi:
Test without Trust: Optimal Locally Private Distribution Testing. AISTATS 2019: 2067-2076 - [c41]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference under Information Constraints: Lower Bounds from Chi-Square Contraction. COLT 2019: 3-17 - [c40]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Communication-Constrained Inference and the Role of Shared Randomness. ICML 2019: 30-39 - [c39]Jayadev Acharya, Chris De Sa, Dylan J. Foster, Karthik Sridharan:
Distributed Learning with Sublinear Communication. ICML 2019: 40-50 - [c38]Jayadev Acharya, Ziteng Sun:
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. ICML 2019: 51-60 - [c37]Jayadev Acharya, Ibrahim Issa, Nirmal V. Shende, Aaron B. Wagner:
Measuring Quantum Entropy. ISIT 2019: 3012-3016 - [c36]Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun:
Estimating Entropy of Distributions in Constant Space. NeurIPS 2019: 5163-5174 - 2018
- [c35]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. ICML 2018: 30-39 - [c34]Jayadev Acharya, Yelun Bao, Yuheng Kang, Ziteng Sun:
Improved Bounds for Minimax Risk of Estimating Missing Mass. ISIT 2018: 326-330 - [c33]Jayadev Acharya:
Profile Maximum Likelihood is Optimal for Estimating KL Divergence. ISIT 2018: 1400-1404 - [c32]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS 2018: 6879-6891 - [c31]Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy:
Learning and Testing Causal Models with Interventions. NeurIPS 2018: 9469-9481 - 2017
- [c30]Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh:
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions. ICML 2017: 11-21 - [c29]Jayadev Acharya, Arnab Bhattacharyya, Pritish Kamath:
Improved bounds for universal one-bit compressive sensing. ISIT 2017: 2353-2357 - [c28]Jayadev Acharya, Ilias Diakonikolas, Jerry Li, Ludwig Schmidt:
Sample-Optimal Density Estimation in Nearly-Linear Time. SODA 2017: 1278-1289 - 2016
- [c27]Jayadev Acharya, Ilias Diakonikolas, Jerry Li, Ludwig Schmidt:
Fast Algorithms for Segmented Regression. ICML 2016: 2878-2886 - 2015
- [c26]Jayadev Acharya, Clément L. Canonne, Gautam Kamath:
A Chasm Between Identity and Equivalence Testing with Conditional Queries. APPROX-RANDOM 2015: 449-466 - [c25]Jayadev Acharya, Clément L. Canonne, Gautam Kamath:
Adaptive estimation in weighted group testing. ISIT 2015: 2116-2120 - [c24]Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath:
Optimal Testing for Properties of Distributions. NIPS 2015: 3591-3599 - [c23]Jayadev Acharya, Ilias Diakonikolas, Chinmay Hegde, Jerry Zheng Li, Ludwig Schmidt:
Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms. PODS 2015: 249-263 - [c22]Jayadev Acharya, Constantinos Daskalakis:
Testing Poisson Binomial Distributions. SODA 2015: 1829-1840 - [c21]Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, Himanshu Tyagi:
The Complexity of Estimating Rényi Entropy. SODA 2015: 1855-1869 - 2014
- [c20]Jayadev Acharya, Hirakendu Das, Olgica Milenkovic, Alon Orlitsky, Shengjun Pan:
Quadratic-backtracking algorithm for string reconstruction from substring compositions. ISIT 2014: 1296-1300 - [c19]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Sorting with adversarial comparators and application to density estimation. ISIT 2014: 1682-1686 - [c18]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Efficient compression of monotone and m-modal distributions. ISIT 2014: 1867-1871 - [c17]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Poissonization and universal compression of envelope classes. ISIT 2014: 1872-1876 - [c16]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Sublinear algorithms for outlier detection and generalized closeness testing. ISIT 2014: 3200-3204 - [c15]Ananda Theertha Suresh, Alon Orlitsky, Jayadev Acharya, Ashkan Jafarpour:
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures. NIPS 2014: 1395-1403 - 2013
- [c14]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
A Competitive Test for Uniformity of Monotone Distributions. AISTATS 2013: 57-65 - [c13]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Optimal Probability Estimation with Applications to Prediction and Classification. COLT 2013: 764-796 - [c12]Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Tight bounds for universal compression of large alphabets. ISIT 2013: 2875-2879 - 2012
- [c11]Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Shengjun Pan:
Estimating multiple concurrent processes. ISIT 2012: 1628-1632 - [c10]Jayadev Acharya, Hirakendu Das, Alon Orlitsky:
Tight Bounds on Profile Redundancy and Distinguishability. NIPS 2012: 3266-3274 - [c9]Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Shengjun Pan, Ananda Theertha Suresh:
Competitive Classification and Closeness Testing. COLT 2012: 22.1-22.18 - 2011
- [c8]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky:
Expected query complexity of symmetric boolean functions. Allerton 2011: 26-29 - [c7]Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Shengjun Pan:
Algebraic computation of pattern maximum likelihood. ISIT 2011: 400-404 - [c6]Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Shengjun Pan:
Competitive Closeness Testing. COLT 2011: 47-68 - 2010
- [c5]Jayadev Acharya, Hirakendu Das, Olgica Milenkovic, Alon Orlitsky, Shengjun Pan:
On reconstructing a string from its substring compositions. ISIT 2010: 1238-1242 - [c4]Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Shengjun Pan, Narayana P. Santhanam:
Classification using pattern probability estimators. ISIT 2010: 1493-1497 - [c3]Jayadev Acharya, Hirakendu Das, Hosein Mohimani, Alon Orlitsky, Shengjun Pan:
Exact calculation of pattern probabilities. ISIT 2010: 1498-1502 - 2009
- [c2]Shengjun Pan, Jayadev Acharya, Alon Orlitsky:
The maximum likelihood probability of unique-singleton, ternary, and length-7 patterns. ISIT 2009: 1135-1139 - [c1]Jayadev Acharya, Alon Orlitsky, Shengjun Pan:
Recent results on pattern maximum likelihood. ITW 2009: 251-255
Informal and Other Publications
- 2024
- [i50]Yuhan Liu, Jayadev Acharya:
The role of shared randomness in quantum state certification with unentangled measurements. CoRR abs/2401.09650 (2024) - [i49]Yuhan Liu, Jayadev Acharya:
Quantum state testing with restricted measurements. CoRR abs/2408.17439 (2024) - 2022
- [i48]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
The Role of Interactivity in Structured Estimation. CoRR abs/2203.06870 (2022) - [i47]Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. CoRR abs/2211.03757 (2022) - [i46]Jimmy Z. Di, Jack Douglas, Jayadev Acharya, Gautam Kamath, Ayush Sekhari:
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. CoRR abs/2212.10717 (2022) - 2021
- [i45]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi:
Inference under Information Constraints III: Local Privacy Constraints. CoRR abs/2101.07981 (2021) - [i44]Ayush Sekhari, Jayadev Acharya, Gautam Kamath, Ananda Theertha Suresh:
Remember What You Want to Forget: Algorithms for Machine Unlearning. CoRR abs/2103.03279 (2021) - [i43]Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi:
Information-constrained optimization: can adaptive processing of gradients help? CoRR abs/2104.00979 (2021) - [i42]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. CoRR abs/2104.10740 (2021) - [i41]Sourbh Bhadane, Aaron B. Wagner, Jayadev Acharya:
Principal Bit Analysis: Autoencoding with Schur-Concave Loss. CoRR abs/2106.02796 (2021) - [i40]Jayadev Acharya, Clément L. Canonne, Aditya Vikram Singh, Himanshu Tyagi:
Optimal Rates for Nonparametric Density Estimation under Communication Constraints. CoRR abs/2107.10078 (2021) - [i39]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. CoRR abs/2111.05320 (2021) - 2020
- [i38]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. CoRR abs/2004.06830 (2020) - [i37]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. CoRR abs/2007.10976 (2020) - [i36]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
Unified lower bounds for interactive high-dimensional estimation under information constraints. CoRR abs/2010.06562 (2020) - [i35]Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. CoRR abs/2011.00083 (2020) - 2019
- [i34]Jayadev Acharya, Christopher De Sa, Dylan J. Foster, Karthik Sridharan:
Distributed Learning with Sublinear Communication. CoRR abs/1902.11259 (2019) - [i33]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference under Information Constraints II: Communication Constraints and Shared Randomness. CoRR abs/1905.08302 (2019) - [i32]Jayadev Acharya, Ziteng Sun:
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. CoRR abs/1905.11888 (2019) - [i31]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR abs/1907.08743 (2019) - [i30]Jayadev Acharya, Ananda Theertha Suresh:
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. CoRR abs/1908.03156 (2019) - [i29]Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context-Aware Local Differential Privacy. CoRR abs/1911.00038 (2019) - [i28]Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun:
Estimating Entropy of Distributions in Constant Space. CoRR abs/1911.07976 (2019) - [i27]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [i26]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR abs/1802.04705 (2018) - [i25]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. CoRR abs/1803.00008 (2018) - [i24]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Distributed Simulation and Distributed Inference. CoRR abs/1804.06952 (2018) - [i23]Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy:
Learning and Testing Causal Models with Interventions. CoRR abs/1805.09697 (2018) - [i22]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Himanshu Tyagi:
Test without Trust: Optimal Locally Private Distribution Testing. CoRR abs/1808.02174 (2018) - [i21]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction. CoRR abs/1812.11476 (2018) - [i20]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Distributed Simulation and Distributed Inference. Electron. Colloquium Comput. Complex. TR18 (2018) - 2017
- [i19]Jayadev Acharya, Arnab Bhattacharyya, Pritish Kamath:
Improved Bounds for Universal One-Bit Compressive Sensing. CoRR abs/1705.00763 (2017) - [i18]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR abs/1707.05128 (2017) - [i17]Jayadev Acharya, Ibrahim Issa, Nirmal V. Shende, Aaron B. Wagner:
Measuring Quantum Entropy. CoRR abs/1711.00814 (2017) - 2016
- [i16]Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation. CoRR abs/1606.02786 (2016) - [i15]Jayadev Acharya, Ilias Diakonikolas, Jerry Li, Ludwig Schmidt:
Fast Algorithms for Segmented Regression. CoRR abs/1607.03990 (2016) - [i14]Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh:
A Unified Maximum Likelihood Approach for Optimal Distribution Property Estimation. CoRR abs/1611.02960 (2016) - [i13]Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh:
A Unified Maximum Likelihood Approach for Optimal Distribution Property Estimation. Electron. Colloquium Comput. Complex. TR16 (2016) - [i12]Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath:
A Framework for Testing Properties of Discrete Distributions: Monotonicity, Independence, and More. Tiny Trans. Comput. Sci. 4 (2016) - 2015
- [i11]Jayadev Acharya, Ilias Diakonikolas, Jerry Zheng Li, Ludwig Schmidt:
Sample-Optimal Density Estimation in Nearly-Linear Time. CoRR abs/1506.00671 (2015) - [i10]Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath:
Optimal Testing for Properties of Distributions. CoRR abs/1507.05952 (2015) - 2014
- [i9]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Near-optimal-sample estimators for spherical Gaussian mixtures. CoRR abs/1402.4746 (2014) - [i8]Jayadev Acharya, Hirakendu Das, Olgica Milenkovic, Alon Orlitsky, Shengjun Pan:
String Reconstruction from Substring Compositions. CoRR abs/1403.2439 (2014) - [i7]Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Universal Compression of Envelope Classes: Tight Characterization via Poisson Sampling. CoRR abs/1405.7460 (2014) - [i6]Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, Himanshu Tyagi:
The Complexity of Estimating Rényi Entropy. CoRR abs/1408.1000 (2014) - [i5]Jayadev Acharya, Constantinos Daskalakis:
Testing Poisson Binomial Distributions. CoRR abs/1410.3386 (2014) - [i4]Jayadev Acharya, Clément L. Canonne, Gautam Kamath:
A Chasm Between Identity and Equivalence Testing with Conditional Queries. CoRR abs/1411.7346 (2014) - [i3]Jayadev Acharya, Clément L. Canonne, Gautam Kamath:
A Chasm Between Identity and Equivalence Testing with Conditional Queries. Electron. Colloquium Comput. Complex. TR14 (2014) - 2007
- [i2]Sreechakra Goparaju, Jayadev Acharya, Ajoy K. Ray, Jaideva C. Goswami:
A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators. CoRR abs/0712.4015 (2007) - 2006
- [i1]Siddharth Arora, Jayadev Acharya, Amit Verma, Prasanta K. Panigrahi:
Multilevel Thresholding for Image Segmentation through a Fast Statistical Recursive Algorithm. CoRR abs/cs/0602044 (2006)
Coauthor Index
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