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List of works by Ambuj Tewari

Action Centered Contextual Bandits

scientific article published in January 2017

Active Learning for Non-Parametric Regression Using Purely Random Trees

Alternating Minimization for Regression Problems with Vector-valued Outputs

article published in 2015

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

scientific article published on 31 March 2020

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

Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses

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

scientific article published on 12 September 2013

Exploiting longer cycles for link prediction in signed networks

scientific article published on 16 November 2011

Feature Clustering for Accelerating Parallel Coordinate Descent

scientific article published in January 2012

Fighting Bandits with a New Kind of Smoothness

article by Jacob D. Abernethy et al published 2015 in Advances in Neural Information Processing Systems 28

Generalization Bounds in the Predict-then-Optimize Framework

Greedy Algorithms for Structurally Constrained High Dimensional Problems

scientific article published in January 2011

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

scientific article published on 23 September 2016

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

scientific article published on 19 August 2019

Learning with Noisy Labels

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

scientific article published on December 2015

Nearest Neighbor based Greedy Coordinate Descent

scientific article published in January 2011

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

scientific article published in January 2014

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization

On the Equivalence between Online and Private Learnability beyond Binary Classification

On the Generalization Ability of Online Strongly Convex Programming Algorithms

scholarly article by Sham M. Kakade & Ambuj Tewari published 2009 in Advances in Neural Information Processing Systems 21

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

scientific article published in January 2019

On the Universality of Online Mirror Descent

scientific article published in January 2011

Online Learning via the Differential Privacy Lens

scientific article published in January 2019

Online Learning: Random Averages, Combinatorial Parameters, and Learnability

scientific article published in January 2010

Online Learning: Stochastic, Constrained, and Smoothed Adversaries

scientific article published in January 2011

Online multiclass boosting

scientific article published in January 2017

Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs

scientific article published in January 2008

Orthogonal Matching Pursuit with Replacement

scientific article published in January 2011

Parallelizing ListNet training using spark

Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games

scientific article published in January 2016

Predicting reaction conditions from limited data through active transfer learning

scientific article published in 2022

Prediction and validation of gene-disease associations using methods inspired by social network analyses

scientific article

Predtron: A Family of Online Algorithms for General Prediction Problems

scholarly article by Prateek Jain et al published 2015 in Advances in Neural Information Processing Systems 28

Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems

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

scholarly article by Ziping Xu & Ambuj Tewari published November 2020 in Advances in Neural Information Processing Systems 33

Sample Complexity of Policy Search with Known Dynamics

scientific article published in January 2007

Sample size calculations for micro-randomized trials in mHealth

scientific article published on 28 December 2015

Sequential complexities and uniform martingale laws of large numbers

scientific article published in 2014

Smoothness, Low Noise and Fast Rates

TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search

scientific article published in November 2020

What Does the Machine Learn? Knowledge Representations of Chemical Reactivity

scientific article published on 03 March 2020