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04/22/2022
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Conventional methods for query autocompletion aim to predict which compl...
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06/06/2021
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
This paper studies offline Imitation Learning (IL) where an agent learns...
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02/22/2021
Optimism is All You Need: Model-Based Imitation Learning From Observation Alone
This paper studies Imitation Learning from Observations alone (ILFO) whe...
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02/15/2021
Top-k eXtreme Contextual Bandits with Arm Hierarchy
Motivated by modern applications, such as online advertisement and recom...
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02/09/2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
Most computer science conferences rely on paper bidding to assign review...
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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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03/15/2018
On the insufficiency of existing momentum schemes for Stochastic Optimization
Momentum based stochastic gradient methods such as heavy ball (HB) and N...
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11/22/2017
Leverage Score Sampling for Faster Accelerated Regression and ERM
Given a matrix A∈R^n× d and a vector b ∈R^d, we show how to compute an ϵ...
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11/15/2017
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles
For many applications, an ensemble of base classifiers is an effective s...
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10/25/2017
A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares)
This work provides a simplified proof of the statistical minimax optimal...
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04/26/2017
Accelerating Stochastic Gradient Descent
There is widespread sentiment that it is not possible to effectively uti...
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10/12/2016
Parallelizing Stochastic Approximation Through Mini-Batching and Tail-Averaging
This work characterizes the benefits of averaging techniques widely used...
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11/06/2015
