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04/17/2023
Long-term Forecasting with TiDE: Time-series Dense Encoder
Recent work has shown that simple linear models can outperform several T...
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02/19/2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
In many bandit problems, the maximal reward achievable by a policy is of...
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01/30/2023
Near Optimal Private and Robust Linear Regression
We study the canonical statistical estimation problem of linear regressi...
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06/09/2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models
We study the problem of learning generalized linear models under adversa...
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05/27/2022
DP-PCA: Statistically Optimal and Differentially Private PCA
We study the canonical statistical task of computing the principal compo...
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04/21/2022
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting
Hierarchical forecasting is a key problem in many practical multivariate...
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11/12/2021
Differential privacy and robust statistics in high dimensions
We introduce a universal framework for characterizing the statistical ef...
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06/06/2021
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
This paper investigates the theoretical and empirical performance of Fis...
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04/22/2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Modern machine learning increasingly requires training on a large collec...
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02/18/2021
Robust and Differentially Private Mean Estimation
Differential privacy has emerged as a standard requirement in a variety ...
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11/19/2020
Online Model Selection for Reinforcement Learning with Function Approximation
Deep reinforcement learning has achieved impressive successes yet often ...
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06/17/2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
A common challenge faced in practical supervised learning, such as medic...
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02/20/2020
Meta-learning for mixed linear regression
In modern supervised learning, there are a large number of tasks, but ma...
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12/12/2019
Sublinear Optimal Policy Value Estimation in Contextual Bandits
We study the problem of estimating the expected reward of the optimal po...
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11/28/2019
Optimal Estimation of Change in a Population of Parameters
Paired estimation of change in parameters of interest over a population ...
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02/12/2019
Maximum Likelihood Estimation for Learning Populations of Parameters
Consider a setting with N independent individuals, each with an unknown ...
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05/31/2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression
We study the problem of high-dimensional linear regression in a robust m...
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05/04/2018
Estimating Learnability in the Sublinear Data Regime
We consider the problem of estimating how well a model class is capable ...
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12/05/2017
Approximating the Spectrum of a Graph
The spectrum of a network or graph G=(V,E) with adjacency matrix A, cons...
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01/30/2016