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06/30/2023
Statler: State-Maintaining Language Models for Embodied Reasoning
Large language models (LLMs) provide a promising tool that enable robots...
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06/09/2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Hyperparameter optimization, also known as hyperparameter tuning, is a w...
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06/08/2023
Federated Linear Contextual Bandits with User-level Differential Privacy
This paper studies federated linear contextual bandits under the notion ...
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10/24/2022
Contraction of Locally Differentially Private Mechanisms
We investigate the contraction properties of locally differentially priv...
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06/09/2022
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Many modern machine learning algorithms are composed of simple private a...
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08/11/2021
Statistical Inference in the Differential Privacy Model
In modern settings of data analysis, we may be running our algorithms on...
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06/02/2021
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
We study stochastic convex optimization with heavy-tailed data under the...
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04/21/2021
Robust Testing and Estimation under Manipulation Attacks
We study robust testing and estimation of discrete distributions in the ...
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03/01/2021
Wide Network Learning with Differential Privacy
Despite intense interest and considerable effort, the current generation...
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02/10/2021
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization
The problem of joint design of transmit waveforms and receive filters is...
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04/14/2020
Differentially Private Assouad, Fano, and Le Cam
Le Cam's method, Fano's inequality, and Assouad's lemma are three widely...
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02/21/2020
Locally Private Hypothesis Selection
We initiate the study of hypothesis selection under local differential p...
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02/21/2020
Privately Learning Markov Random Fields
We consider the problem of learning Markov Random Fields (including the ...
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10/01/2019
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data
In this paper, we study the problem of estimating smooth Generalized Lin...
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02/28/2018
INSPECTRE: Privately Estimating the Unseen
We develop differentially private methods for estimating various distrib...
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02/13/2018
