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06/25/2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
We consider the problem of heteroscedastic linear regression, where, giv...
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09/29/2022
Optimistic MLE – A Generic Model-based Algorithm for Partially Observable Sequential Decision Making
This paper introduces a simple efficient learning algorithms for general...
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03/10/2021
Streaming Linear System Identification with Reverse Experience Replay
We consider the problem of estimating a stochastic linear time-invariant...
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06/13/2020
The Pitfalls of Simplicity Bias in Neural Networks
Several works have proposed Simplicity Bias (SB)—the tendency of standar...
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05/12/2020
MOReL : Model-Based Offline Reinforcement Learning
In offline reinforcement learning (RL), the goal is to learn a successfu...
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04/29/2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
There is a stark disparity between the step size schedules used in pract...
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02/02/2019
