Optimally Approximating the Lifetime of Wireless Sensor Networks. - Vivek Kumar Bagaria; Ashwin Pananjady; Rahul Vaze (CoRR, 2013)

Maximizing utility among selfish users in social groups. - Ashwin Pananjady; Vivek Kumar Bagaria; Rahul Vaze (NCC, 2014)

The online disjoint set cover problem and its applications. - Ashwin Pananjady; Vivek Kumar Bagaria; Rahul Vaze (INFOCOM, 2015)

Compressing sparse sequences under local decodability constraints. - Ashwin Pananjady; Thomas A. Courtade (ISIT, 2015)

On the complexity of making a distinguished vertex minimum or maximum degree by vertex deletion. - Sounaka Mishra; Ashwin Pananjady; N. Safina Devi (J. Discrete Algorithms, 2015)

Linear regression with an unknown permutation: Statistical and computational limits. - Ashwin Pananjady; Martin J. Wainwright; Thomas A. Courtade (Allerton, 2016)

Wasserstein Stability of the Entropy Power Inequality for Log-Concave Densities. - Thomas A. Courtade; Max Fathi; Ashwin Pananjady (CoRR, 2016)

Wasserstein stability of the entropy power inequality for log-concave random vectors. - Thomas A. Courtade; Max Fathi; Ashwin Pananjady (ISIT, 2017)

Denoising linear models with permuted data. - Ashwin Pananjady; Martin J. Wainwright; Thomas A. Courtade (ISIT, 2017)

Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound. - Thomas A. Courtade; Max Fathi; Ashwin Pananjady (CoRR, 2017)

Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons. - Ashwin Pananjady; Cheng Mao; Vidya Muthukumar; Martin J. Wainwright; Thomas A. Courtade (CoRR, 2017)

Gradient Diversity Empowers Distributed Learning. - Dong Yin; Ashwin Pananjady; Maximilian Lam; Dimitris S. Papailiopoulos; Kannan Ramchandran; Peter L. Bartlett (CoRR, 2017)

Optimally Approximating the Coverage Lifetime of Wireless Sensor Networks. - Ashwin Pananjady; Vivek Kumar Bagaria; Rahul Vaze (IEEE/ACM Trans. Netw., 2017)

Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. - Dong Yin; Ashwin Pananjady; Maximilian Lam; Dimitris S. Papailiopoulos; Kannan Ramchandran; Peter L. Bartlett (AISTATS, 2018)

Breaking the $1/ sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (COLT, 2018)

Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (CoRR, 2018)

Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (CoRR, 2018)

Quantitative Stability of the Entropy Power Inequality. - Thomas A. Courtade; Max Fathi; Ashwin Pananjady (IEEE Trans. Inf. Theory, 2018)

The Effect of Local Decodability Constraints on Variable-Length Compression. - Ashwin Pananjady; Thomas A. Courtade (IEEE Trans. Inf. Theory, 2018)

Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery. - Ashwin Pananjady; Martin J. Wainwright; Thomas A. Courtade (IEEE Trans. Inf. Theory, 2018)

A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. - Efe Aras; Kuan-Yun Lee; Ashwin Pananjady; Thomas A. Courtade (ISIT, 2019)

Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (CoRR, 2019)

Value function estimation in Markov reward processes: Instance-dependent 𝓁∞-bounds for policy evaluation. - Ashwin Pananjady; Martin J. Wainwright (CoRR, 2019)

Max-affine regression with universal parameter estimation for small-ball designs. - Avishek Ghosh; Ashwin Pananjady; Aditya Guntuboyina; Kannan Ramchandran (ISIT, 2020)

Preference learning along multiple criteria: A game-theoretic perspective. - Kush Bhatia; Ashwin Pananjady; Peter L. Bartlett; Anca D. Dragan; Martin J. Wainwright (NeurIPS, 2020)

Isotonic regression with unknown permutations: Statistics, computation, and adaptation. - Ashwin Pananjady; Richard J. Samworth (CoRR, 2020)

Optimal oracle inequalities for solving projected fixed-point equations. - Wenlong Mou; Ashwin Pananjady; Martin J. Wainwright (CoRR, 2020)

Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. - Dhruv Malik; Ashwin Pananjady; Kush Bhatia; Koulik Khamaru; Peter L. Bartlett; Martin J. Wainwright (J. Mach. Learn. Res., 2020)

Statistics, computation, and adaptation in high dimensions. - Ashwin Pananjady (2020)

Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. - Koulik Khamaru; Ashwin Pananjady; Feng Ruan; Martin J. Wainwright; Michael I. Jordan (SIAM J. Math. Data Sci., 2021)

Single-Index Models in the High Signal Regime. - Ashwin Pananjady; Dean P. Foster (IEEE Trans. Inf. Theory, 2021)

Instance-Dependent ℓ∞-Bounds for Policy Evaluation in Tabular Reinforcement Learning. - Ashwin Pananjady; Martin J. Wainwright (IEEE Trans. Inf. Theory, 2021)

Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. - Wenshuo Guo; Kumar Krishna Agrawal; Aditya Grover; Vidya K. Muthukumar; Ashwin Pananjady (AISTATS, 2022)

A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation. - Sheng Zhang; Ashwin Pananjady; Justin Romberg (CDC, 2022)

Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. - Wenlong Mou; Ashwin Pananjady; Martin J. Wainwright; Peter L. Bartlett (COLT, 2022)

A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. - Sheng Zhang; Ashwin Pananjady; Justin Romberg (CoRR, 2022)

Max-Affine Regression: Parameter Estimation for Gaussian Designs. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2022)

Sharp analysis of EM for learning mixtures of pairwise differences. - Abhishek Dhawan; Cheng Mao; Ashwin Pananjady (COLT, 2023)

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. - Austin Xu; Andrew D. McRae; Jingyan Wang 001; Mark A. Davenport; Ashwin Pananjady (NeurIPS, 2023)

Modeling and Correcting Bias in Sequential Evaluation. - Jingyan Wang 001; Ashwin Pananjady (EC, 2023)

Optimal Oracle Inequalities for Projected Fixed-Point Equations, with Applications to Policy Evaluation. - Wenlong Mou; Ashwin Pananjady; Martin J. Wainwright (Math. Oper. Res., 2023)

Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. - Tianjiao Li; Guanghui Lan; Ashwin Pananjady (SIAM J. Math. Data Sci., 2023)

Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception. - Xuanzhou Chen; Austin Xu; Jingyan Wang 001; Ashwin Pananjady (Allerton, 2024)

Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization. - Kabir Aladin Verchand; Mengqi Lou; Ashwin Pananjady (ALT, 2024)

One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits. - Etash Guha; Jim James; Krishna Acharya; Vidya Muthukumar; Ashwin Pananjady (UAI, 2024)

Efficient reductions between some statistical models. - Mengqi Lou; Guy Bresler; Ashwin Pananjady (CoRR, 2024)

Just Wing It: Optimal Estimation of Missing Mass in a Markovian Sequence. - Ashwin Pananjady; Vidya Muthukumar; Andrew Thangaraj (CoRR, 2024)

Do Algorithms and Barriers for Sparse Principal Component Analysis Extend to Other Structured Settings? - Guanyi Wang; Mengqi Lou; Ashwin Pananjady (IEEE Trans. Signal Process., 2024)

Estimating stationary mass, frequency by frequency. - Milind Nakul; Vidya Muthukumar; Ashwin Pananjady (COLT, 2025)

Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach. - Mengqi Lou; Kabir Aladin Verchand; Sara Fridovich-Keil; Ashwin Pananjady (CoRR, 2025)

State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees. - Michael Celentano; Chen Cheng; Ashwin Pananjady; Kabir Aladin Verchand (CoRR, 2025)

Computationally Efficient Reductions Between Some Statistical Models. - Mengqi Lou; Guy Bresler; Ashwin Pananjady (IEEE Trans. Inf. Theory, 2025)