Publications (22)
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang +3
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy +1
Recovering Graph-Structured Activations using Adaptive Compressive Measurements
Akshay Krishnamurthy, James Sharpnack, Aarti Singh
PAC Reinforcement Learning with Rich Observations
Akshay Krishnamurthy, Alekh Agarwal, John Langford
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
James Sharpnack, Akshay Krishnamurthy, Aarti Singh
Efficient Algorithms for Adversarial Contextual Learning
Vasilis Syrgkanis, Akshay Krishnamurthy, Robert E. Schapire
Learning to Search Better Than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal +2
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel, Alekh Agarwal, Fernando Diaz +2
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos +2
Contextual Semibandits via Supervised Learning Oracles
Akshay Krishnamurthy, Alekh Agarwal, Miroslav Dudik
An Online Hierarchical Algorithm for Extreme Clustering
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy +1
Subspace Learning from Extremely Compressed Measurements
Akshay Krishnamurthy, Martin Azizyan, Aarti Singh
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal +2
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy, Aarti Singh
On the Power of Adaptivity in Matrix Completion and Approximation
Akshay Krishnamurthy, Aarti Singh
Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos +1
On Estimating $L_2^2$ Divergence
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos +1
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
James Sharpnack, Akshay Krishnamurthy, Aarti Singh
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider +1
Efficient Active Algorithms for Hierarchical Clustering
Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu +1
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
Minimax Structured Normal Means Inference
Akshay Krishnamurthy