Ashwin Pananjady

78 papers A* 8A 4B 7Journal 54Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate, Provable, and Fast Polychromatic Tomographic Reconstruction: A Variational Inequality Approach. SIAM J. Imaging Sci. Mengqi Lou, Kabir Aladin Verchand, Sara Fridovich-Keil, Ashwin Pananjady
2026	J	`jnl`	Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT. CoRR Namhoon Kim, Ashwin Pananjady, Amir Pourmorteza, Sara Fridovich-Keil
2025	J	`jnl`	A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. IEEE Trans. Autom. Control. Sheng Zhang, Ashwin Pananjady, Justin Romberg
2025	J	`jnl`	Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach. CoRR Mengqi Lou, Kabir Aladin Verchand, Sara Fridovich-Keil, Ashwin Pananjady
2025	J	`jnl`	Computationally Efficient Reductions Between Some Statistical Models. IEEE Trans. Inf. Theory Mengqi Lou, Guy Bresler, Ashwin Pananjady
2025	B	`conf`	Computationally efficient reductions between some statistical models. ALT Mengqi Lou, Guy Bresler, Ashwin Pananjady
2025	J	`jnl`	Efficient reductions from a Gaussian source with applications to statistical-computational tradeoffs. CoRR Mengqi Lou, Guy Bresler, Ashwin Pananjady
2025	A*	`conf`	Estimating stationary mass, frequency by frequency. COLT Milind Nakul, Vidya Muthukumar, Ashwin Pananjady
2025	J	`jnl`	Estimating stationary mass, frequency by frequency. CoRR Milind Nakul, Vidya Muthukumar, Ashwin Pananjady
2025	J	`jnl`	Predictive inference for time series: why is split conformal effective despite temporal dependence? CoRR Rina Foygel Barber, Ashwin Pananjady
2025	J	`jnl`	State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees. CoRR Michael Celentano, Chen Cheng, Ashwin Pananjady, Kabir Aladin Verchand
2024	B	`conf`	Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization. ALT Kabir Aladin Verchand, Mengqi Lou, Ashwin Pananjady
2024	J	`jnl`	Do Algorithms and Barriers for Sparse Principal Component Analysis Extend to Other Structured Settings? IEEE Trans. Signal Process. Guanyi Wang, Mengqi Lou, Ashwin Pananjady
2024	J	`jnl`	Efficient reductions between some statistical models. CoRR Mengqi Lou, Guy Bresler, Ashwin Pananjady
2024	J	`jnl`	Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence. J. Mach. Learn. Res. Ashwin Pananjady, Vidya Muthukumar, Andrew Thangaraj
2024	J	`jnl`	Just Wing It: Optimal Estimation of Missing Mass in a Markovian Sequence. CoRR Ashwin Pananjady, Vidya Muthukumar, Andrew Thangaraj
2024	—	`conf`	Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception. Allerton Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady
2024	A	`conf`	One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits. UAI Etash Guha, Jim James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady
2023	J	`jnl`	Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. SIAM J. Math. Data Sci. Tianjiao Li, Guanghui Lan, Ashwin Pananjady
2023	J	`jnl`	Do algorithms and barriers for sparse principal component analysis extend to other structured settings? CoRR Guanyi Wang, Mengqi Lou, Ashwin Pananjady
2023	A*	`conf`	Modeling and Correcting Bias in Sequential Evaluation. EC Jingyan Wang, Ashwin Pananjady
2023	J	`jnl`	Optimal Oracle Inequalities for Projected Fixed-Point Equations, with Applications to Policy Evaluation. Math. Oper. Res. Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
2023	A*	`conf`	Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2023	J	`jnl`	Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2023	A*	`conf`	Sharp analysis of EM for learning mixtures of pairwise differences. COLT Abhishek Dhawan, Cheng Mao, Ashwin Pananjady
2023	J	`jnl`	Sharp analysis of EM for learning mixtures of pairwise differences. CoRR Abhishek Dhawan, Cheng Mao, Ashwin Pananjady
2022	J	`jnl`	A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. CoRR Sheng Zhang, Ashwin Pananjady, Justin Romberg
2022	—	`conf`	A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation. CDC Sheng Zhang, Ashwin Pananjady, Justin Romberg
2022	A	`conf`	Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. AISTATS Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady
2022	J	`jnl`	Max-Affine Regression: Parameter Estimation for Gaussian Designs. IEEE Trans. Inf. Theory Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
2022	J	`jnl`	Modeling and Correcting Bias in Sequential Evaluation. CoRR Jingyan Wang, Ashwin Pananjady
2022	A*	`conf`	Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. COLT Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
2021	J	`jnl`	Accelerated and instance-optimal policy evaluation with linear function approximation. CoRR Tianjiao Li, Guanghui Lan, Ashwin Pananjady
2021	J	`jnl`	Instance-Dependent ℓ IEEE Trans. Inf. Theory Ashwin Pananjady, Martin J. Wainwright
2021	J	`jnl`	Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. SIAM J. Math. Data Sci. Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
2021	J	`jnl`	Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. CoRR Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady
2021	J	`jnl`	Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. CoRR Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
2021	J	`jnl`	Preference learning along multiple criteria: A game-theoretic perspective. CoRR Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2021	J	`jnl`	Single-Index Models in the High Signal Regime. IEEE Trans. Inf. Theory Ashwin Pananjady, Dean P. Foster
2020	J	`jnl`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. J. Mach. Learn. Res. Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2020	J	`jnl`	Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
2020	J	`jnl`	Isotonic regression with unknown permutations: Statistics, computation, and adaptation. CoRR Ashwin Pananjady, Richard J. Samworth
2020	B	`conf`	Max-affine regression with universal parameter estimation for small-ball designs. ISIT Avishek Ghosh, Ashwin Pananjady, Aditya Guntuboyina, Kannan Ramchandran
2020	J	`jnl`	Optimal oracle inequalities for solving projected fixed-point equations. CoRR Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
2020	A*	`conf`	Preference learning along multiple criteria: A game-theoretic perspective. NeurIPS Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2020	—	`—`	Statistics, computation, and adaptation in high dimensions. Ashwin Pananjady
2019	B	`conf`	A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. ISIT Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade
2019	J	`jnl`	A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors. CoRR Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade
2019	A	`conf`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. AISTATS Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2019	J	`jnl`	Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. CoRR Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
2019	J	`jnl`	Value function estimation in Markov reward processes: Instance-dependent 𝓁 CoRR Ashwin Pananjady, Martin J. Wainwright
2018	A*	`conf`	Breaking the $1/\sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. COLT Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2018	J	`jnl`	Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. CoRR Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2018	J	`jnl`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. CoRR Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2018	A	`conf`	Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. AISTATS Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett
2018	J	`jnl`	Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery. IEEE Trans. Inf. Theory Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2018	J	`jnl`	Quantitative Stability of the Entropy Power Inequality. IEEE Trans. Inf. Theory Thomas A. Courtade, Max Fathi, Ashwin Pananjady
2018	J	`jnl`	The Effect of Local Decodability Constraints on Variable-Length Compression. IEEE Trans. Inf. Theory Ashwin Pananjady, Thomas A. Courtade
2018	J	`jnl`	Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. CoRR Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2017	J	`jnl`	Denoising Linear Models with Permuted Data. CoRR Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2017	B	`conf`	Denoising linear models with permuted data. ISIT Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2017	J	`jnl`	Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound. CoRR Thomas A. Courtade, Max Fathi, Ashwin Pananjady
2017	J	`jnl`	Gradient Diversity Empowers Distributed Learning. CoRR Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett
2017	J	`jnl`	Optimally Approximating the Coverage Lifetime of Wireless Sensor Networks. IEEE/ACM Trans. Netw. Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze
2017	B	`conf`	Wasserstein stability of the entropy power inequality for log-concave random vectors. ISIT Thomas A. Courtade, Max Fathi, Ashwin Pananjady
2017	J	`jnl`	Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons. CoRR Ashwin Pananjady, Cheng Mao, Vidya Muthukumar, Martin J. Wainwright, Thomas A. Courtade
2016	J	`jnl`	Linear Regression with an Unknown Permutation: Statistical and Computational Limits. CoRR Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2016	—	`conf`	Linear regression with an unknown permutation: Statistical and computational limits. Allerton Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2016	J	`jnl`	Wasserstein Stability of the Entropy Power Inequality for Log-Concave Densities. CoRR Thomas A. Courtade, Max Fathi, Ashwin Pananjady
2015	J	`jnl`	Compressing Sparse Sequences under Local Decodability Constraints. CoRR Ashwin Pananjady, Thomas A. Courtade
2015	B	`conf`	Compressing sparse sequences under local decodability constraints. ISIT Ashwin Pananjady, Thomas A. Courtade
2015	J	`jnl`	On the complexity of making a distinguished vertex minimum or maximum degree by vertex deletion. J. Discrete Algorithms Sounaka Mishra, Ashwin Pananjady, N. Safina Devi
2015	A*	`conf`	The online disjoint set cover problem and its applications. INFOCOM Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze
2014	—	`conf`	Maximizing utility among selfish users in social groups. NCC Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze
2014	J	`jnl`	The Online Disjoint Set Cover Problem and its Applications. CoRR Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze
2013	J	`jnl`	Maximizing Utility Among Selfish Users in Social Groups. CoRR Ashwin Pananjady, Vivek Kumar Bagaria, Rahul Vaze
2013	J	`jnl`	On the Complexity of Making a Distinguished Vertex Minimum or Maximum Degree by Vertex Deletion. CoRR Sounaka Mishra, Ashwin Pananjady, N. Safina Devi
2013	J	`jnl`	Optimally Approximating the Lifetime of Wireless Sensor Networks. CoRR Vivek Kumar Bagaria, Ashwin Pananjady, Rahul Vaze