Ambuj Tewari

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 155

Top Venues

Publications

Ananth Raman, Vinod Raman, Unique Subedi, Idan Mehalel, Ambuj Tewari
Multiclass Online Learnability under Bandit Feedback. ALT (2024)
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari
A Framework for Partially Observed Reward-States in RLHF. CoRR (2024)
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning. AISTATS (2024)
Kihyuk Hong, Yufan Zhang, Ambuj Tewari
Provably Efficient Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs. CoRR (2024)
Yash P. Patel, Sahana Rayan, Ambuj Tewari
Conformal Contextual Robust Optimization. AISTATS (2024)
Vinod Raman, Unique Subedi, Ambuj Tewari
Online Learning with Set-valued Feedback. COLT (2024)
Unique Subedi, Vinod Raman, Ambuj Tewari
Online Infinite-Dimensional Regression: Learning Linear Operators. ALT (2024)
Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari
Offline Policy Evaluation and Optimization Under Confounding. AISTATS (2024)
Vinod Raman, Unique Subedi, Ambuj Tewari
The Complexity of Sequential Prediction in Dynamical Systems. CoRR (2024)
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Leveraging Offline Data in Linear Latent Bandits. CoRR (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. ICLR (2024)
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR (2024)
Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari
Apple Tasting: Combinatorial Dimensions and Minimax Rates. COLT (2024)
Jacob Trauger, Ambuj Tewari
Sequence Length Independent Norm-Based Generalization Bounds for Transformers. AISTATS (2024)
Eduardo Ochoa Rivera, Ambuj Tewari
Optimal Thresholding Linear Bandit. CoRR (2024)
Vinod Raman, Ambuj Tewari
Online Classification with Predictions. CoRR (2024)
Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Joint learning of linear time-invariant dynamical systems. Autom. 164 (2024)
Yash P. Patel, Sahana Rayan, Ambuj Tewari
Conformal Robust Control of Linear Systems. CoRR (2024)
Kihyuk Hong, Ambuj Tewari
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Low-Rank MDPs. CoRR (2024)
Vinod Raman, Unique Subedi, Ambuj Tewari
Smoothed Online Classification can be Harder than Batch Classification. CoRR (2024)
Vinod Raman, Unique Subedi, Ambuj Tewari
On the Learnability of Multilabel Ranking. CoRR (2023)
Gang Qiao, Ambuj Tewari
An Asymptotically Optimal Algorithm for the One-Dimensional Convex Hull Feasibility Problem. CoRR (2023)
Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari
Revisiting the Learnability of Apple Tasting. CoRR (2023)
Gautam Chandrasekaran, Ambuj Tewari
Learning in online MDPs: is there a price for handling the communicating case? UAI (2023)
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Learning Mixtures of Markov Chains and MDPs. ICML (2023)
Kihyuk Hong, Yuhang Li, Ambuj Tewari
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge. AISTATS (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
Online Learning with Set-Valued Feedback. CoRR (2023)
Ananth Raman, Vinod Raman, Unique Subedi, Ambuj Tewari
Multiclass Online Learnability under Bandit Feedback. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
A Combinatorial Characterization of Online Learning Games with Bounded Losses. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
On Proper Learnability between Average- and Worst-case Robustness. NeurIPS (2023)
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
Online Infinite-Dimensional Regression: Learning Linear Operators. CoRR (2023)
Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
Generalization Bounds in the Predict-Then-Optimize Framework. Math. Oper. Res. 48 (4) (2023)
Jacob Trauger, Ambuj Tewari
Sequence Length Independent Norm-Based Generalization Bounds for Transformers. CoRR (2023)
Mingyuan Zhang, Ambuj Tewari
On the Minimax Regret in Online Ranking with Top-k Feedback. CoRR (2023)
Yash Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari
Variational Inference with Coverage Guarantees. CoRR (2023)
Preetham Mohan, Ambuj Tewari
Quantum Learning Theory Beyond Batch Binary Classification. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
On the Learnability of Multilabel Ranking. NeurIPS (2023)
Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits. ICML (2023)
Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari
Multiclass Online Learning and Uniform Convergence. COLT (2023)
Eunjae Shim, Ambuj Tewari, Tim Cernak, Paul M. Zimmerman
Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit. J. Chem. Inf. Model. 63 (12) (2023)
Jitao Wang, Yu Fang, Elena Frank, Maureen A. Walton, Margit Burmeister, Ambuj Tewari, Walter H. Dempsey, Timothy NeCamp, Srijan Sen, Zhenke Wu
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. npj Digit. Medicine 6 (2023)
Saptarshi Roy, Ambuj Tewari
On the Computational Complexity of Private High-dimensional Model Selection via the Exponential Mechanism. CoRR (2023)
Yash Patel, Sahana Rayan, Ambuj Tewari
Conformal Contextual Robust Optimization. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
A Characterization of Multilabel Learnability. CoRR (2023)
Vinod Raman, Unique Subedi, Ambuj Tewari
A Characterization of Online Multiclass Learnability. CoRR (2023)
Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits. CoRR (2022)
Kevin Tan, Yangyi Lu, Chinmaya Kausik, Yixin Wang, Ambuj Tewari
Offline Policy Evaluation and Optimization under Confounding. CoRR (2022)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Efficient Reinforcement Learning with Prior Causal Knowledge. CLeaR (2022)
Vinod Raman, Ambuj Tewari
Online Agnostic Multiclass Boosting. CoRR (2022)
Ziping Xu, Ambuj Tewari
On the Statistical Benefits of Curriculum Learning. ICML (2022)
Laura Niss, Yuekai Sun, Ambuj Tewari
Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms. CoRR (2022)
Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
Adaptive Sampling for Discovery. NeurIPS (2022)
Kihyuk Hong, Yuhang Li, Ambuj Tewari
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge. CoRR (2022)
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS (2022)
Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
Adaptive Learning for Discovery. CoRR (2022)
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Learning Mixtures of Markov Chains and MDPs. CoRR (2022)
Anthony DiGiovanni, Ambuj Tewari
Balancing adaptability and non-exploitability in repeated games. UAI (2022)
Vinod Raman, Ambuj Tewari
Online Agnostic Multiclass Boosting. NeurIPS (2022)
Runxuan Jiang, Tarun Gogineni, Joshua Kammeraad, Yifei He, Ambuj Tewari, Paul M. Zimmerman
Conformer-RL: A deep reinforcement learning library for conformer generation. J. Comput. Chem. 43 (27) (2022)
Vinod Raman, Unique Subedi, Ambuj Tewari
Probabilistically Robust PAC Learning. CoRR (2022)
Ziping Xu, Ambuj Tewari
On the Statistical Benefits of Curriculum Learning. CoRR (2021)
Gautam Chandrasekaran, Ambuj Tewari
Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic? CoRR (2021)
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR (2021)
Ziping Xu, Ambuj Tewari
Representation Learning Beyond Linear Prediction Functions. CoRR (2021)
Yangyi Lu, Ziping Xu, Ambuj Tewari
Bandit Algorithms for Precision Medicine. CoRR (2021)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Causal Bandits with Unknown Graph Structure. NeurIPS (2021)
Anthony DiGiovanni, Ambuj Tewari
Thompson sampling for Markov games with piecewise stationary opponent policies. UAI (2021)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Low-Rank Generalized Linear Bandit Problems. AISTATS (2021)
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Optimism-Based Adaptive Regulation of Linear-Quadratic Systems. IEEE Trans. Autom. Control. 66 (4) (2021)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Causal Markov Decision Processes: Learning Good Interventions Efficiently. CoRR (2021)
Ziping Xu, Ambuj Tewari
Representation Learning Beyond Linear Prediction Functions. NeurIPS (2021)
Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Joint Learning of Linear Time-Invariant Dynamical Systems. CoRR (2021)
Ziping Xu, Amirhossein Meisami, Ambuj Tewari
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. AISTATS (2021)
Anthony DiGiovanni, Ambuj Tewari
Balancing Adaptability and Non-exploitability in Repeated Games. CoRR (2021)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Causal Bandits with Unknown Graph Structure. CoRR (2021)
Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. NeurIPS (2020)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan
Regret Analysis of Bandit Problems with Causal Background Knowledge. UAI (2020)
Young Hun Jung, Baekjin Kim, Ambuj Tewari
On the Equivalence between Online and Private Learnability beyond Binary Classification. NeurIPS (2020)
Ziping Xu, Amir Meisami, Ambuj Tewari
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. CoRR (2020)
Aditya Modi, Ambuj Tewari
No-regret Exploration in Contextual Reinforcement Learning. UAI (2020)
Jack Goetz, Ambuj Tewari
Federated Learning via Synthetic Data. CoRR (2020)
Ziping Xu, Ambuj Tewari
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting. NeurIPS (2020)
Laura Niss, Ambuj Tewari
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. UAI (2020)
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Input perturbations for adaptive control and learning. Autom. 117 (2020)
Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. CoRR (2020)
Joshua Kammeraad, Jack Goetz, Eric Walker, Ambuj Tewari, Paul M. Zimmerman
What Does the Machine Learn? Knowledge Representations of Chemical Reactivity. J. Chem. Inf. Model. 60 (3) (2020)
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder P. Singh
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS (2020)
Young Hun Jung, Baekjin Kim, Ambuj Tewari
On the Equivalence between Online and Private Learnability beyond Binary Classification. CoRR (2020)
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
On adaptive Linear-Quadratic regulators. Autom. 117 (2020)
A. Philip Dawid, Ambuj Tewari
On Learnability under General Stochastic Processes. CoRR (2020)
Ziping Xu, Ambuj Tewari
Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting. CoRR (2020)
Baekjin Kim, Ambuj Tewari
Randomized Exploration for Non-Stationary Stochastic Linear Bandits. UAI (2020)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
Low-Rank Generalized Linear Bandit Problems. CoRR (2020)
Baekjin Kim, Ambuj Tewari
Near-optimal Oracle-efficient Algorithms for Stationary and Non-Stationary Stochastic Linear Bandits. CoRR (2019)
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Finite-Time Adaptive Stabilization of Linear Systems. IEEE Trans. Autom. Control. 64 (8) (2019)
Young Hun Jung, Marc Abeille, Ambuj Tewari
Thompson Sampling in Non-Episodic Restless Bandits. CoRR (2019)
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
Regret Analysis of Causal Bandit Problems. CoRR (2019)
Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
Generalization Bounds in the Predict-then-Optimize Framework. CoRR (2019)
Baekjin Kim, Ambuj Tewari
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ambuj Tewari