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10/04/2022
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering
Businesses generate thousands of documents that communicate their strate...
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07/07/2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users
This paper investigates simultaneous preference and metric learning from...
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05/27/2022
Benign Overparameterization in Membership Inference with Early Stopping
Does a neural network's privacy have to be at odds with its accuracy? In...
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02/04/2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits
In this work we consider the problem of regret minimization for logistic...
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02/02/2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
A surprising phenomenon in modern machine learning is the ability of a h...
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11/09/2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
We consider interactive learning in the realizable setting and develop a...
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11/02/2021
Nearly Optimal Algorithms for Level Set Estimation
The level set estimation problem seeks to find all points in a domain X ...
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10/11/2021
NFT-K: Non-Fungible Tangent Kernels
Deep neural networks have become essential for numerous applications due...
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03/08/2021
Nearest Neighbor Search Under Uncertainty
Nearest Neighbor Search (NNS) is a central task in knowledge representat...
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06/16/2020
Finding All ε-Good Arms in Stochastic Bandits
The pure-exploration problem in stochastic multi-armed bandits aims to f...
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05/30/2019
Learning Nearest Neighbor Graphs from Noisy Distance Samples
We consider the problem of learning the nearest neighbor graph of a data...
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09/18/2017