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05/24/2023
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure
We consider offline Reinforcement Learning (RL), where the agent does no...
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10/20/2022
Network Synthetic Interventions: A Framework for Panel Data with Network Interference
We propose a generalization of the synthetic controls and synthetic inte...
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09/30/2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
While standard bandit algorithms sometimes incur high regret, their perf...
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08/10/2022
Exploiting neighborhood interference with low order interactions under unit randomized design
Network interference, where the outcome of an individual is affected by ...
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06/07/2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
The practicality of reinforcement learning algorithms has been limited d...
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05/29/2022
Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference
Randomized experiments are widely used to estimate causal effects across...
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05/25/2022
Graph Agnostic Randomized Experimental Design
Randomized experiments are widely used to estimate causal effects of pro...
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10/29/2021
Adaptive Discretization in Online Reinforcement Learning
Discretization based approaches to solving online reinforcement learning...
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10/26/2021
Nonparametric Matrix Estimation with One-Sided Covariates
Consider the task of matrix estimation in which a dataset X ∈ℝ^n× m is o...
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05/11/2021
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
We consider the problem of dividing limited resources to individuals arr...
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11/29/2020
Sequential Fair Allocation of Limited Resources under Stochastic Demands
We consider the problem of dividing limited resources between a set of a...
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07/01/2020
Tensor Estimation with Nearly Linear Samples
There is a conjectured computational-statistical gap in terms of the num...
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07/01/2020
Adaptive Discretization for Model-Based Reinforcement Learning
We introduce the technique of adaptive discretization to design efficien...
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10/17/2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces
We present an efficient algorithm for model-free episodic reinforcement ...
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08/03/2019
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation
We consider the task of tensor estimation, i.e. estimating a low-rank 3-...
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08/03/2019