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05/27/2023
An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification
Pre-trained transformer models have demonstrated success across many nat...
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04/18/2023
Optimal PAC Bounds Without Uniform Convergence
In statistical learning theory, determining the sample complexity of rea...
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04/14/2023
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
We study dynamic algorithms robust to adaptive input generated from sour...
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12/19/2022
The One-Inclusion Graph Algorithm is not Always Optimal
The one-inclusion graph algorithm of Haussler, Littlestone, and Warmuth ...
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11/18/2022
Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time
We study fundamental problems in linear algebra, such as finding a maxim...
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05/06/2022
What Makes A Good Fisherman? Linear Regression under Self-Selection Bias
In the classical setting of self-selection, the goal is to learn k model...
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05/04/2022
Estimation of Standard Auction Models
We provide efficient estimation methods for first- and second-price auct...
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03/03/2022
Uniform Approximations for Randomized Hadamard Transforms with Applications
Randomized Hadamard Transforms (RHTs) have emerged as a computationally ...
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10/17/2021
Terminal Embeddings in Sublinear Time
Recently (Elkin, Filtser, Neiman 2017) introduced the concept of a termi...
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06/23/2021
Adversarial Examples in Multi-Layer Random ReLU Networks
We consider the phenomenon of adversarial examples in ReLU networks with...
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04/08/2021
A single gradient step finds adversarial examples on random two-layers neural networks
Daniely and Schacham recently showed that gradient descent finds adversa...
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11/24/2020
Optimal Mean Estimation without a Variance
We study the problem of heavy-tailed mean estimation in settings where t...
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10/21/2020
On Adaptive Distance Estimation
We provide a static data structure for distance estimation which support...
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07/16/2020
Optimal Robust Linear Regression in Nearly Linear Time
We study the problem of high-dimensional robust linear regression where ...
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05/20/2020
List Decodable Mean Estimation in Nearly Linear Time
Learning from data in the presence of outliers is a fundamental problem ...
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12/23/2019
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond
We study efficient algorithms for linear regression and covariance estim...
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02/06/2019
Testing Markov Chains without Hitting
We study the problem of identity testing of markov chains. In this setti...
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02/06/2019
