Ambuj Tewari

Ambuj Tewari, S. Murphy, E. Hekler, 2015, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

Optimizing mHealth Interventions with a Bandit

Ambuj Tewari, Predrag Klasnja, Mashfiqui Rabbi, 2019, Studies in Neuroscience, Psychology and Behavioral Economics.

Markov Decision Processes with Continuous Side Information

Nan Jiang, Ambuj Tewari, Satinder P. Singh, 2017, ALT.

Learning with Noisy Labels

Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon, 2013, NIPS.

On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods

Ambuj Tewari, Ankan Saha, Ambuj Tewari, 2013, SIAM J. Optim..

Parallelizing ListNet training using spark

Matthew Lease, Ambuj Tewari, Shilpa Shukla, 2012, SIGIR '12.

On the Consistency of Multiclass Classification Methods

Ambuj Tewari, Peter L. Bartlett, P. Bartlett, 2007, J. Mach. Learn. Res..

On the Generalization Ability of Online Strongly Convex Programming Algorithms

Ambuj Tewari, Sham M. Kakade, S. Kakade, 2008, NIPS.

Learning To Predict Reaction Conditions: Relationships between Solvent, Molecular Structure, and Catalyst

Ambuj Tewari, Eric Walker, Joshua Andrew Kammeraad, 2019, J. Chem. Inf. Model..

On Learnability under General Stochastic Processes pdf

Ambuj Tewari, A. Philip Dawid, Ambuj Tewari, 2020, ArXiv.

Generalization Bounds in the Predict-then-Optimize Framework

Ambuj Tewari, Othman El Balghiti, Adam N. Elmachtoub, 2019, NeurIPS.

Feature Clustering for Accelerating Parallel Coordinate Descent

Ambuj Tewari, Mahantesh Halappanavar, Chad Scherrer, 2012, NIPS.

Smoothness, Low Noise and Fast Rates

Ambuj Tewari, Nathan Srebro, Karthik Sridharan, 2010, NIPS.

Regret Analysis for Adaptive Linear-Quadratic Policies

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2017 .

Online Learning: Beyond Regret

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, COLT.

Consistent algorithms for multiclass classification with an abstain option

Ambuj Tewari, S. Agarwal, H. G. Ramaswamy, 2018 .

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

Prateek Jain, Ambuj Tewari, Purushottam Kar, 2014, NIPS.

Sample Complexity of Policy Search with Known Dynamics

Ambuj Tewari, Peter L. Bartlett, P. Bartlett, 2006, NIPS.

Spectral Smoothing via Random Matrix Perturbations pdf

Jacob Abernethy, Ambuj Tewari, Chansoo Lee, 2015, ArXiv.

Cost-Sensitive Learning with Noisy Labels

Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon, 2017, J. Mach. Learn. Res..

Just-in-Time Adaptive Interventions (JITAIs): An Organizing Framework for Ongoing Health Behavior Support

Ambuj Tewari, S. Murphy, K. Witkiewitz, 2014 .

Greedy Algorithms for Structurally Constrained High Dimensional Problems

Pradeep Ravikumar, Inderjit S. Dhillon, Ambuj Tewari, 2011, NIPS.

On the Finite Time Convergence of Cyclic Coordinate Descent Methods pdf

Ambuj Tewari, Ankan Saha, Ambuj Tewari, 2010, ArXiv.

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2017, IEEE Transactions on Automatic Control.

Finite Time Adaptive Stabilization of LQ Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2018 .

Regularization Techniques for Learning with Matrices

Ambuj Tewari, Sham M. Kakade, Shai Shalev-Shwartz, 2009, J. Mach. Learn. Res..

Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

Ambuj Tewari, Peter L. Bartlett, P. Bartlett, 2007, J. Mach. Learn. Res..

Finite Time Identification in Unstable Linear Systems pdf

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2017, Autom..

Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity

Ambuj Tewari, Ohad Shamir, Sham M. Kakade, 2009, AISTATS.

Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses

John O. Woods, I. Dhillon, Ambuj Tewari, 2013, PloS one.

Partial Hard Thresholding

Inderjit S. Dhillon, Ambuj Tewari, Prateek Jain, 2017, IEEE Transactions on Information Theory.

Online multiclass boosting

Ambuj Tewari, Young Hun Jung, Jack Goetz, 2017, NIPS.

Exploiting longer cycles for link prediction in signed networks

Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari, 2011, CIKM '11.

Optimality of Fast-Matching Algorithms for Random Networks With Applications to Structural Controllability

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2015, IEEE Transactions on Control of Network Systems.

M L ] 1 0 A ug 2 02 1 Bandit Algorithms for Precision Medicine

Ambuj Tewari, Ziping Xu, Yangyi Lu, 2021 .

Perturbations for Adaptive Regulation and Learning

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2018 .

An Actor-Critic Contextual Bandit Algorithm for Personalized Interventions using Mobile Devices

Ambuj Tewari, S. Murphy, 2014 .

Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.

Ambuj Tewari, S. Murphy, E. Hekler, 2015, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

Lasso guarantees for $\beta$-mixing heavy-tailed time series

Kam Chung Wong, Ambuj Tewari, Zifan Li, 2017, 1708.01505.

LASSO GUARANTEES FOR β-MIXING HEAVY TAILED TIME SERIES ∗ By

Kam Chung Wong, Ambuj Tewari, 2019 .

Correction: Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses

John O. Woods, I. Dhillon, Ambuj Tewari, 2013, PLoS ONE.

Micro-randomized trials & mHealth

Ambuj Tewari, S. Murphy, P. Klasnja, 2015, 1504.00238.

Author and Co-author Contact Information

P. Bartlett, Ambuj Tewari, 2013 .

Exponentiated) Stochastic Gradient Descent for L1 Constrained Problems

Ambuj Tewari, Sham M. Kakade, S. Kakade, 2008 .

On the Approximation Properties of Random ReLU Features

Ambuj Tewari, Anna Gilbert, Yitong Sun, 2018 .

Perturbation Algorithms for Adversarial Online Learning by Zifan Li Advisor :

Ambuj Tewari, 2017 .

Online Learning to Rank with Top-k Feedback

Ambuj Tewari, Sougata Chaudhuri, 2016, J. Mach. Learn. Res..

Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial

Ambuj Tewari, E. Ionides, S. Sen, 2020, Journal of medical Internet research.

Online Agnostic Multiclass Boosting

Ambuj Tewari, Vinod K Raman, Vinod Raman, 2022, NeurIPS.

An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge

Ambuj Tewari, Kihyuk Hong, Yuhang Li, 2022, ArXiv.

Adaptive Learning for Discovery

Ambuj Tewari, Ziping Xu, Eunjae Shim, 2022, ArXiv.

Reinforcement Learning based approach to Routing in Sensor Networks CS 252 Project

Ambuj Tewari, 2005 .

Online Learning via the Differential Privacy Lens

Jacob D. Abernethy, Young Hun Jung, Ambuj Tewari, 2017, NeurIPS.

Balancing Adaptability and Non-exploitability in Repeated Games

Ambuj Tewari, Anthony DiGiovanni, 2021, UAI.

High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective

Ambuj Tewari, Ziwei Zhu, Saptarshi Roy, 2022, 2201.01508.

Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials

Yufeng Liu, Ambuj Tewari, D. Zeng, 2022 .

Joint Learning of Linear Time-Invariant Dynamical Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2021, ArXiv.

Joint Learning of Linear Time-Invariant Dynamical Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2021, Automatica.

Lasso guarantees for $\beta$-mixing heavy-tailed time series

Kam Chung Wong, Ambuj Tewari, Zifan Li, 2017, The Annals of Statistics.

Machine Learning Methods for Mood Prediction Using Data from Smartphones and Wearables

Ambuj Tewari, Mengjie Shi, 2019 .

Learning in online MDPs: is there a price for handling the communicating case?

Ambuj Tewari, Gautam Chandrasekaran, 2021, UAI.

Sequential complexities and uniform martingale laws of large numbers

Ambuj Tewari, Karthik Sridharan, A. Rakhlin, 2014, Probability Theory and Related Fields.

Probabilistically Robust PAC Learning

Ambuj Tewari, Unique Subedi, Vinod Raman, 2022, ArXiv.

Learning Mixtures of Markov Chains and MDPs

Ambuj Tewari, Chinmaya Kausik, Kevin Tan, 2022, 2211.09403.

On the Statistical Beneﬁts of Curriculum Learning

Ambuj Tewari, Ziping Xu, 2022 .

Tale of two c(omplex)ities

Ambuj Tewari, Ziwei Zhu, Saptarshi Roy, 2023 .

On the Approximation Capabilities of ReLU Neural Networks and Random ReLU Features

Ambuj Tewari, Yitong Sun, Anna Gilbert, 2018 .

PAC Subset Selection in Stochastic Multi-armed Bandits

Ambuj Tewari, Peter Stone, Peter Auer, 2012, ICML.

Deterministic MDPs with Adversarial Rewards and Bandit Feedback

Ambuj Tewari, Raman Arora, Ofer Dekel, 2012, UAI.

Prediction and clustering in signed networks: a local to global perspective pdf

Nagarajan Natarajan, Inderjit S. Dhillon, Cho-Jui Hsieh, 2013, J. Mach. Learn. Res..

Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting

Ambuj Tewari, Ziping Xu, 2020, NeurIPS.

Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting pdf

Ambuj Tewari, Ziping Xu, Ambuj Tewari, 2020, ArXiv.

Bounded Parameter Markov Decision Processes with Average Reward Criterion

Ambuj Tewari, Peter L. Bartlett, P. Bartlett, 2007, COLT.

Adaptive Sampling for Discovery

Ambuj Tewari, Ziping Xu, Eunjae Shim, 2022, NeurIPS.

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Ambuj Tewari, Susan A. Murphy, Inbal Nahum-Shani, 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

Causal Bandits with Unknown Graph Structure pdf

Ambuj Tewari, Amirhossein Meisami, Yangyi Lu, 2021, NeurIPS.

What Does the Machine Learn? Knowledge Representations of Chemical Reactivity

Ambuj Tewari, Joshua Andrew Kammeraad, Paul M Zimmerman, 2020, J. Chem. Inf. Model..

Online learning via sequential complexities

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, J. Mach. Learn. Res..

Federated Learning via Synthetic Data

Ambuj Tewari, Jack Goetz, Ambuj Tewari, 2020, 2008.04489.

Online Learning: Random Averages, Combinatorial Parameters, and Learnability

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2010, NIPS.

But How Does It Work in Theory? Linear SVM with Random Features

Ambuj Tewari, Anna C. Gilbert, Yitong Sun, 2018, NeurIPS.

Reinforcement learning in large or unknown mdps

Ambuj Tewari, Peter L. Bartlett, P. Bartlett, 2007 .

On Proper Learnability between Average- and Worst-case Robustness

Ambuj Tewari, Unique Subedi, Vinod Raman, 2022, 2211.05656.

Probabilistically Robust PAC Learning

Ambuj Tewari, Unique Subedi, Vinod Raman, 2022, ArXiv.

Consistent Algorithms for Multiclass Classification with a Reject Option pdf

Ambuj Tewari, Shivani Agarwal, Harish G. Ramaswamy, 2015, ArXiv.

Sample size calculations for micro‐randomized trials in mHealth

Ambuj Tewari, Predrag Klasnja, Susan A Murphy, 2015, Statistics in medicine.

TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search pdf

Ambuj Tewari, Joshua Kammeraad, Ziping Xu, 2020, NeurIPS.

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles

Ambuj Tewari, Satinder Singh, Nan Jiang, 2019, AISTATS.

Mixture Proportion Estimation via Kernel Embeddings of Distributions pdf

Ambuj Tewari, Clayton Scott, Harish G. Ramaswamy, 2016, ICML.

Input perturbations for adaptive control and learning

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2018, Autom..

On adaptive Linear-Quadratic regulators

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2018, Autom..

An Asymptotically Optimal Algorithm for the One-Dimensional Convex Hull Feasibility Problem

Ambuj Tewari, Gang Qiao, 2023, ArXiv.

Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms

Ambuj Tewari, Yuekai Sun, Laura Niss, 2022, ArXiv.

Excess Risk Bounds for MultiTask Learning

Ambuj Tewari, 2006 .

From Ads to Interventions: Contextual Bandits in Mobile Health

Ambuj Tewari, Susan A. Murphy, Ambuj Tewari, 2017, Mobile Health - Sensors, Analytic Methods, and Applications.

Optimistic Rates for Learning with a Smooth Loss

Nathan Srebro, Ambuj Tewari, Karthik Sridharan, 2010, 1009.3896.

An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions pdf

Ambuj Tewari, Susan A. Murphy, Huitian Lei, 2017, ArXiv.

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret

Ambuj Tewari, Raman Arora, Ofer Dekel, 2012, ICML.

Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

Ambuj Tewari, Jack Goetz, Jessica Chia Liu, 2021, JMIR mHealth and uHealth.

Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns

Ambuj Tewari, Ziping Xu, A. Meisami, 2020, AISTATS.

Active Learning for Non-Parametric Regression Using Purely Random Trees

Ambuj Tewari, Paul Zimmerman, Jack Goetz, 2018, NeurIPS.

Thompson sampling for Markov games with piecewise stationary opponent policies

Ambuj Tewari, Anthony DiGiovanni, Ambuj Tewari, 2021, UAI.

On Applications of Bootstrap in Continuous Space Reinforcement Learning

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Online Linear Optimization via Smoothing pdf

Ambuj Tewari, Abhinav Sinha, Jacob D. Abernethy, 2014, COLT.

Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques pdf

Ambuj Tewari, Sougata Chaudhuri, Bopeng Li, 2015, AAAI.

Online Learning: Stochastic, Constrained, and Smoothed Adversaries

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2011, NIPS.

On Learnability under General Stochastic Processes

Ambuj Tewari, A. Dawid, 2020, ArXiv.

On Structural Properties of MDPs that Bound Loss Due to Shallow Planning

Nan Jiang, Ambuj Tewari, Satinder P. Singh, 2016, IJCAI.

Complexity-Based Approach to Calibration with Checking Rules

Ambuj Tewari, Dean P. Foster, Karthik Sridharan, 2011, COLT.

Orthogonal Matching Pursuit with Replacement

Inderjit S. Dhillon, Prateek Jain, Ambuj Tewari, 2011, NIPS.

Nearest Neighbor based Greedy Coordinate Descent

Pradeep Ravikumar, Inderjit S. Dhillon, Ambuj Tewari, 2011, NIPS.

Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions

Ambuj Tewari, R. Willett, G. Raskutti, 2021, J. Mach. Learn. Res..

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback

Ambuj Tewari, Ankan Saha, Ambuj Tewari, 2011, AISTATS.

Quantum Learning Theory Beyond Batch Binary Classification

Ambuj Tewari, Preetham Mohan, 2023, ArXiv.

On the Equivalence between Online and Private Learnability beyond Binary Classification pdf

Ambuj Tewari, Young Hun Jung, Baekjin Kim, 2020, NeurIPS.

Online Learning via Differential Privacy pdf

Ambuj Tewari, Jacob D. Abernethy, Chansoo Lee, 2017, ArXiv.

Causal Markov Decision Processes: Learning Good Interventions Efficiently pdf

Ambuj Tewari, Amirhossein Meisami, Yangyi Lu, 2021, ArXiv.

No-regret Exploration in Contextual Reinforcement Learning

Ambuj Tewari, Aditya Modi, Ambuj Tewari, 2019, UAI.

Efficient Reinforcement Learning with Prior Causal Knowledge

Ambuj Tewari, Yangyi Lu, 2022, CLeaR.

Bandit Algorithms for Precision Medicine pdf

Ambuj Tewari, Ziping Xu, Yangyi Lu, 2021, ArXiv.

A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning

Ambuj Tewari, Kihyuk Hong, Yuhang Li, 2023, ArXiv.

Online Boosting Algorithms for Multi-label Ranking

Ambuj Tewari, Young Hun Jung, Ambuj Tewari, 2017, AISTATS.

Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems

Young Hun Jung, Ambuj Tewari, 2019, NeurIPS.

Generalization error bounds for learning to rank: Does the length of document lists matter?

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2015, ICML.

High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective

Ambuj Tewari, Ziwei Zhu, Saptarshi Roy, 2022, 2201.01508.

Understanding Best Subset Selection: A Tale of Two C(omplex)ities

Ambuj Tewari, Ziwei Zhu, Saptarshi Roy, 2023, 2301.06259.

Exploring the Privacy-Utility Tradeoff in Differentially Private Federated Learning for Mobile Health: A Novel Approach using Simulated Privacy Attacks

Ambuj Tewari, A. Tewari, A. Shen, 2022, medRxiv.

Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems

Ambuj Tewari, Mahantesh Halappanavar, Chad Scherrer, 2012, ICML.

Randomized Exploration for Non-Stationary Stochastic Linear Bandits

Ambuj Tewari, Baekjin Kim, 2019, UAI.

On NDCG Consistency of Listwise Ranking Methods

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang, 2011, AISTATS.

Predicting Gene-Disease Associations Using Multiple Species Data

Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari, 2011 .

Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2016, NIPS.

A Combinatorial Characterization of Online Learning Games with Bounded Losses

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ArXiv.

Online Learning with Set-Valued Feedback

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ArXiv.

On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems

Ambuj Tewari, Baekjin Kim, Ambuj Tewari, 2019, NeurIPS.

Online Learning: Stochastic and Constrained Adversaries pdf

Ambuj Tewari, Karthik Sridharan, Alexander Rakhlin, 2011, ArXiv.

Regret Analysis of Bandit Problems with Causal Background Knowledge

Ambuj Tewari, Amirhossein Meisami, Yangyi Lu, 2019, UAI.

Online Ranking with Top-1 Feedback pdf

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2014, AISTATS.

Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2019, 2019 IEEE Data Science Workshop (DSW).

Finite Time Adaptive Stabilization of LQ Systems

Ambuj Tewari, George Michailidis, Mohamad Kazem Shirani Faradonbeh, 2018, ArXiv.

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2017, IEEE Transactions on Automatic Control.

Perturbation based Large Margin Approach for Ranking

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang, 2012, AISTATS.

Predtron: A Family of Online Algorithms for General Prediction Problems

Nagarajan Natarajan, Prateek Jain, Ambuj Tewari, 2015, NIPS.

Contextual Markov Decision Processes using Generalized Linear Models pdf

Ambuj Tewari, Aditya Modi, Ambuj Tewari, 2019, ArXiv.

On the Learnability of Multilabel Ranking

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ArXiv.

Online Learning to Rank with Feedback at the Top

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2016, AISTATS.

Perceptron like Algorithms for Online Learning to Rank pdf

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2015, ArXiv.

Perceptron-like Algorithms and Generalization Bounds for Learning to Rank pdf

Ambuj Tewari, Sougata Chaudhuri, Ambuj Tewari, 2014, ArXiv.

A Characterization of Multioutput Learnability

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, 2301.02729.

Convex Calibrated Surrogates for Hierarchical Classification

Ambuj Tewari, Shivani Agarwal, Harish G. Ramaswamy, 2015, ICML.

Fighting Bandits with a New Kind of Smoothness

Ambuj Tewari, Jacob D. Abernethy, Chansoo Lee, 2015, NIPS.

Adaptive Learning for Discovery

Ambuj Tewari, Ziping Xu, Eunjae Shim, 2022, arXiv.org.

Low-Rank Generalized Linear Bandit Problems pdf

Ambuj Tewari, Amirhossein Meisami, Yangyi Lu, 2020, AISTATS.

Finite-Time Adaptive Stabilization of Linear Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, G. Michailidis, 2019, IEEE Transactions on Automatic Control.

Revisiting the Learnability of Apple Tasting

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, 2310.19064.

Online Infinite-Dimensional Regression: Learning Linear Operators

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ALT.

Multiclass Online Learning and Uniform Convergence

Ambuj Tewari, Steve Hanneke, S. Moran, 2023, COLT.

A Characterization of Multioutput Learnability

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, 2301.02729.

Online Boosting for Multilabel Ranking with Top-k Feedback

Young Hun Jung, Daniel T. Zhang, Ambuj Tewari, 2019, ArXiv.

Online Multiclass Boosting with Bandit Feedback pdf

Ambuj Tewari, Young Hun Jung, Daniel T. Zhang, 2018, AISTATS.

Fighting Contextual Bandits with Stochastic Smoothing pdf

Ambuj Tewari, Young Hun Jung, Ambuj Tewari, 2018, ArXiv.

Sampled Fictitious Play is Hannan Consistent

Ambuj Tewari, Zifan Li, Ambuj Tewari, 2016, Games Econ. Behav..

The Interplay Between Stability and Regret in Online Learning pdf

Prateek Jain, Ambuj Tewari, Ankan Saha, 2012, ArXiv.

Complexity-Based Approach to Calibration with Checking Rules

Ambuj Tewari, Karthik Sridharan, A. Rakhlin, 2011, COLT.

A Characterization of Multilabel Learnability

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ArXiv.

A Characterization of Online Multiclass Learnability

Ambuj Tewari, Unique Subedi, Vinod Raman, 2023, ArXiv.

Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic? pdf

Ambuj Tewari, Gautam Chandrasekaran, Ambuj Tewari, 2021, ArXiv.

Linear Optimization through the Differential Privacy Lens

Jacob Abernethy, Ambuj Tewari, Jacob D. Abernethy, 2018 .

Convex games in banach spaces

Ambuj Tewari, Karthik Sridharan, TTI-Chicago, 2010, COLT 2010.

A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning

Ambuj Tewari, Kihyuk Hong, Yuhang Li, 2023, ArXiv.

On the Computational Complexity of Private High-dimensional Model Selection via the Exponential Mechanism

Ambuj Tewari, Saptarshi Roy, 2023, ArXiv.

Action Centered Contextual Bandits

Kristjan H. Greenewald, Ambuj Tewari, S. Murphy, 2017, NIPS.

Amortized Variational Inference with Coverage Guarantees

Ambuj Tewari, J. Regier, Jackson Loper, 2023, 2305.14275.

Feature Clustering for Accelerating Parallel Coordinate Descent

Ambuj Tewari, Chad Scherrer, M. Halappanavar, 2012, NIPS.

Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

P. Bartlett, Ambuj Tewari, 2007, J. Mach. Learn. Res..

Greedy Algorithms for Structurally Constrained High Dimensional Problems

I. Dhillon, Ambuj Tewari, Pradeep Ravikumar, 2011, NIPS.

Federated Learning via Synthetic Data

Ambuj Tewari, Jack Goetz, 2020, ArXiv.

Offline Policy Evaluation and Optimization under Confounding

Ambuj Tewari, Yangyi Lu, Yixin Wang, 2022, AISTATS.

Regret Analysis of Bandit Problems with Causal Background Knowledge

Ambuj Tewari, Zhenyu Yan, Yangyi Lu, 2019, UAI.

Regret Analysis of Causal Bandit Problems

Ambuj Tewari, Zhenyu Yan, Yangyi Lu, 2019, ArXiv.

Alternating Minimization for Regression Problems with Vector-valued Outputs

Prateek Jain, Ambuj Tewari, Prateek Jain, 2015, NIPS.

What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination

Ambuj Tewari, Laura Niss, Ambuj Tewari, 2019, UAI.