← All authors Ambuj Tewari University of Michigan (per OpenAlex) · ORCID · OpenAlex
33 papers in scope · 33 published · 1 on the econ.EM arXiv · 1,185 citations · h-index 13 (over the papers listed here)
Papers (1 of 33)
Operator Learning: A Statistical Perspective
published 2025 · Annual Review of Statistics and Its Application
with Unique Subedi
Introduction to the Special Issue on Reinforcement Learning
published 2025 · Statistical Science · 1 citations
with Nan Jiang
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective
published 2025 · Bernoulli · 3 citations · first circulated 2022
with Saptarshi Roy, Ziwei Zhu
Understanding best subset selection: A tale of two c(omplex)ities
published 2025 · Electronic Journal of Statistics · first circulated 2023
with Saptarshi Roy, Ziwei Zhu
Joint learning of linear time-invariant dynamical systems
published 2024 · Automatica · 6 citations · first circulated 2021
Thompson Sampling for Markov Games with Piecewise Stationary Opponent Policies
published 2021 · Uncertainty in Artificial Intelligence · 2 citations
with Anthony DiGiovanni
no link
Low-Rank Generalized Linear Bandit Problems
published 2021 · International Conference on Artificial Intelligence and Statistics · 6 citations · first circulated 2020
with Yangyi Lu, Amirhossein Meisami
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
published 2021 · International Conference on Artificial Intelligence and Statistics · 2 citations · first circulated 2020
with Ziping Xu, Amirhossein Meisami
Optimism-Based Adaptive Regulation of Linear-Quadratic Systems
published 2020 · IEEE Transactions on Automatic Control · 43 citations · first circulated 2017
On adaptive Linear–Quadratic regulators
published 2020 · Automatica · 11 citations · first circulated 2018
Input perturbations for adaptive control and learning
published 2020 · Automatica
Lasso guarantees for $\beta$-mixing heavy-tailed time series
published 2020 · The Annals of Statistics · 69 citations · first circulated 2017
with Kam Chung Wong, Zifan Li
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting
published 2020 · Neural Information Processing Systems · 5 citations
with Ziping Xu
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
published 2019 · Neural Information Processing Systems · 11 citations
with Young Hun Jung
Online Learning via the Differential Privacy Lens
published 2019 · Neural Information Processing Systems · 7 citations · first circulated 2017
with Jacob Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan
Finite-Time Adaptive Stabilization of Linear Systems
published 2018 · IEEE Transactions on Automatic Control · 39 citations
published 2018 · Automatica · 98 citations · first circulated 2017
Sampled fictitious play is Hannan consistent
published 2018 · Games and Economic Behavior · 5 citations · first circulated 2016
with Zifan Li
Consistent algorithms for multiclass classification with an abstain option
published 2018 · Electronic Journal of Statistics · 34 citations · first circulated 2015
with Harish G. Ramaswamy, Shivani Agarwal
Active Learning for Non-Parametric Regression Using Purely Random Trees
published 2018 · Neural Information Processing Systems · 13 citations
with Jack Goetz, Paul M. Zimmerman
no link
Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits
published 2018 · Journal of Machine Learning Research · first circulated 2017
with Zifan Li
Partial Hard Thresholding
published 2017 · IEEE Transactions on Information Theory · 14 citations
with Prateek Jain, Inderjit S. Dhillon
Cost-sensitive learning with noisy labels
published 2017 · Journal of Machine Learning Research · 37 citations
with Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar
Mixture proportion estimation via kernel embedding of distributions
published 2016 · International Conference on Machine Learning · 56 citations
with Harish G. Ramaswamy, Clayton Scott
Online Learning to Rank with Feedback at the Top
published 2016 · International Conference on Artificial Intelligence and Statistics · 4 citations
with Sougata Chaudhuri
Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques
published 2016 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations · first circulated 2015
with Bopeng Li, Sougata Chaudhuri
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
published 2015 · Statistics in Medicine · 151 citations
Convex Calibrated Surrogates for Hierarchical Classification
published 2015 · International Conference on Machine Learning · 9 citations
with Harish G. Ramaswamy, Shivani Agarwal
no link
Sequential complexities and uniform martingale laws of large numbers
published 2014 · Probability Theory and Related Fields · 62 citations
with Alexander Rakhlin, Karthik Sridharan
Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses
published 2013 · PLoS ONE · 148 citations
with U. Martin Singh-Blom, Nagarajan Natarajan, John O. Woods, Inderjit S. Dhillon, Edward M. Marcotte
Stochastic Methods for l 1 -regularized Loss Minimization
published 2011 · Journal of Machine Learning Research · 322 citations · first circulated 2009
with Shai Shalev-Shwartz
Stochastic methods for {\it l}$_{\mbox{1}}$ regularized loss minimization
published 2009 · International Conference on Machine Learning · 1 citations
with Shai Shalev-Shwartz
no link
Optimal Stragies and Minimax Lower Bounds for Online Convex Games.
published 2008 · Conference on Learning Theory · 24 citations
with Jacob Abernethy, Peter L. Bartlett, Alexander Rakhlin
no link
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).