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ORCIDAshwin Pananjady
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Books and Theses
- 2020
[b1]Ashwin Pananjady:
Statistics, computation, and adaptation in high dimensions. University of California, Berkeley, USA, 2020
Journal Articles
- 2024
- [j12]Guanyi Wang
, Mengqi Lou, Ashwin Pananjady:
Do Algorithms and Barriers for Sparse Principal Component Analysis Extend to Other Structured Settings? IEEE Trans. Signal Process. 72: 3187-3200 (2024) - 2023
- [j11]Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. SIAM J. Math. Data Sci. 5(1): 174-200 (2023) - 2022
- [j10]Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran:
Max-Affine Regression: Parameter Estimation for Gaussian Designs. IEEE Trans. Inf. Theory 68(3): 1851-1885 (2022) - 2021
- [j9]Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. SIAM J. Math. Data Sci. 3(4): 1013-1040 (2021) - [j8]Ashwin Pananjady, Martin J. Wainwright:
Instance-Dependent ℓ∞-Bounds for Policy Evaluation in Tabular Reinforcement Learning. IEEE Trans. Inf. Theory 67(1): 566-585 (2021) - [j7]Ashwin Pananjady, Dean P. Foster:
Single-Index Models in the High Signal Regime. IEEE Trans. Inf. Theory 67(6): 4092-4124 (2021) - 2020
- [j6]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. J. Mach. Learn. Res. 21: 21:1-21:51 (2020) - 2018
- [j5]Ashwin Pananjady, Thomas A. Courtade:
The Effect of Local Decodability Constraints on Variable-Length Compression. IEEE Trans. Inf. Theory 64(4): 2593-2608 (2018) - [j4]Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade:
Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery. IEEE Trans. Inf. Theory 64(5): 3286-3300 (2018) - [j3]Thomas A. Courtade, Max Fathi, Ashwin Pananjady:
Quantitative Stability of the Entropy Power Inequality. IEEE Trans. Inf. Theory 64(8): 5691-5703 (2018) - 2017
- [j2]Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze:
Optimally Approximating the Coverage Lifetime of Wireless Sensor Networks. IEEE/ACM Trans. Netw. 25(1): 98-111 (2017) - 2015
- [j1]Sounaka Mishra, Ashwin Pananjady, N. Safina Devi:
On the complexity of making a distinguished vertex minimum or maximum degree by vertex deletion. J. Discrete Algorithms 33: 71-80 (2015)
Conference and Workshop Papers
- 2024
- [c19]Kabir Aladin Verchand, Mengqi Lou, Ashwin Pananjady:
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization. ALT 2024: 808-809 - 2023
- [c18]Abhishek Dhawan, Cheng Mao, Ashwin Pananjady:
Sharp analysis of EM for learning mixtures of pairwise differences. COLT 2023: 4384-4428 - [c17]Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady:
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS 2023 - [c16]Jingyan Wang, Ashwin Pananjady:
Modeling and Correcting Bias in Sequential Evaluation. EC 2023: 1153 - 2022
- [c15]Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady:
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. AISTATS 2022: 6357-6386 - [c14]Sheng Zhang, Ashwin Pananjady, Justin Romberg:
A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation. CDC 2022: 5220-5225 - [c13]Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett:
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. COLT 2022: 2060-2061 - 2020
- [c12]Avishek Ghosh, Ashwin Pananjady, Aditya Guntuboyina, Kannan Ramchandran:
Max-affine regression with universal parameter estimation for small-ball designs. ISIT 2020: 2706-2710 - [c11]Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright:
Preference learning along multiple criteria: A game-theoretic perspective. NeurIPS 2020 - 2019
- [c10]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. AISTATS 2019: 2916-2925 - [c9]Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade:
A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. ISIT 2019: 2699-2703 - 2018
- [c8]Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett:
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. AISTATS 2018: 1998-2007 - [c7]Cheng Mao, Ashwin Pananjady, Martin J. Wainwright:
Breaking the $1/\sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. COLT 2018: 2037-2042 - 2017
- [c6]Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade:
Denoising linear models with permuted data. ISIT 2017: 446-450 - [c5]Thomas A. Courtade, Max Fathi, Ashwin Pananjady:
Wasserstein stability of the entropy power inequality for log-concave random vectors. ISIT 2017: 659-663 - 2016
- [c4]Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade:
Linear regression with an unknown permutation: Statistical and computational limits. Allerton 2016: 417-424 - 2015
- [c3]Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze:
The online disjoint set cover problem and its applications. INFOCOM 2015: 1221-1229 - [c2]Ashwin Pananjady, Thomas A. Courtade:
Compressing sparse sequences under local decodability constraints. ISIT 2015: 2979-2983 - 2014
- [c1]Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze:
Maximizing utility among selfish users in social groups. NCC 2014: 1-6
Informal and Other Publications
- 2024
- [i31]Mengqi Lou, Guy Bresler, Ashwin Pananjady:
Efficient reductions between some statistical models. CoRR abs/2402.07717 (2024) - [i30]Ashwin Pananjady, Vidya Muthukumar, Andrew Thangaraj:
Just Wing It: Optimal Estimation of Missing Mass in a Markovian Sequence. CoRR abs/2404.05819 (2024) - 2023
- [i29]Abhishek Dhawan, Cheng Mao, Ashwin Pananjady:
Sharp analysis of EM for learning mixtures of pairwise differences. CoRR abs/2302.10066 (2023) - [i28]Guanyi Wang, Mengqi Lou, Ashwin Pananjady:
Do algorithms and barriers for sparse principal component analysis extend to other structured settings? CoRR abs/2307.13535 (2023) - [i27]Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady:
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR abs/2309.04626 (2023) - 2022
- [i26]Jingyan Wang, Ashwin Pananjady:
Modeling and Correcting Bias in Sequential Evaluation. CoRR abs/2205.01607 (2022) - [i25]Sheng Zhang, Ashwin Pananjady, Justin Romberg:
A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. CoRR abs/2207.11425 (2022) - 2021
- [i24]Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright:
Preference learning along multiple criteria: A game-theoretic perspective. CoRR abs/2105.01850 (2021) - [i23]Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady:
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. CoRR abs/2106.14866 (2021) - [i22]Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett:
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. CoRR abs/2112.12770 (2021) - [i21]Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and instance-optimal policy evaluation with linear function approximation. CoRR abs/2112.13109 (2021) - 2020
- [i20]Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR abs/2003.07337 (2020) - [i19]Ashwin Pananjady, Richard J. Samworth:
Isotonic regression with unknown permutations: Statistics, computation, and adaptation. CoRR abs/2009.02609 (2020) - [i18]Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright:
Optimal oracle inequalities for solving projected fixed-point equations. CoRR abs/2012.05299 (2020) - 2019
- [i17]Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade:
A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. CoRR abs/1902.08582 (2019) - [i16]Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran:
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. CoRR abs/1906.09255 (2019) - [i15]Ashwin Pananjady, Martin J. Wainwright:
Value function estimation in Markov reward processes: Instance-dependent 𝓁∞-bounds for policy evaluation. CoRR abs/1909.08749 (2019) - 2018
- [i14]Cheng Mao, Ashwin Pananjady, Martin J. Wainwright:
Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. CoRR abs/1802.09963 (2018) - [i13]Cheng Mao, Ashwin Pananjady, Martin J. Wainwright:
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. CoRR abs/1806.09544 (2018) - [i12]Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. CoRR abs/1812.08305 (2018) - 2017
- [i11]Thomas A. Courtade, Max Fathi, Ashwin Pananjady:
Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound. CoRR abs/1703.07707 (2017) - [i10]Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade:
Denoising Linear Models with Permuted Data. CoRR abs/1704.07461 (2017) - [i9]Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett:
Gradient Diversity Empowers Distributed Learning. CoRR abs/1706.05699 (2017) - [i8]Ashwin Pananjady, Cheng Mao, Vidya Muthukumar, Martin J. Wainwright, Thomas A. Courtade:
Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons. CoRR abs/1707.06217 (2017) - 2016
- [i7]Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade:
Linear Regression with an Unknown Permutation: Statistical and Computational Limits. CoRR abs/1608.02902 (2016) - [i6]Thomas A. Courtade, Max Fathi, Ashwin Pananjady:
Wasserstein Stability of the Entropy Power Inequality for Log-Concave Densities. CoRR abs/1610.07969 (2016) - 2015
- [i5]Ashwin Pananjady, Thomas A. Courtade:
Compressing Sparse Sequences under Local Decodability Constraints. CoRR abs/1504.02063 (2015) - 2014
- [i4]Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze:
The Online Disjoint Set Cover Problem and its Applications. CoRR abs/1411.5739 (2014) - 2013
- [i3]Vivek Kumar Bagaria, Ashwin Pananjady, Rahul Vaze:
Optimally Approximating the Lifetime of Wireless Sensor Networks. CoRR abs/1307.5230 (2013) - [i2]Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze:
Maximizing Utility Among Selfish Users in Social Groups. CoRR abs/1309.7935 (2013) - [i1]Sounaka Mishra, Ashwin Pananjady, N. Safina Devi:
On the Complexity of Making a Distinguished Vertex Minimum or Maximum Degree by Vertex Deletion. CoRR abs/1312.3779 (2013)
Coauthor Index
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