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01/27/2023
Practical Differentially Private Hyperparameter Tuning with Subsampling
Tuning all the hyperparameters of differentially private (DP) machine le...
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10/27/2021
Locally Differentially Private Bayesian Inference
In recent years, local differential privacy (LDP) has emerged as a techn...
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11/03/2020
Representation Matters: Improving Perception and Exploration for Robotics
Projecting high-dimensional environment observations into lower-dimensio...
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11/01/2020
Differentially Private Bayesian Inference for Generalized Linear Models
The framework of differential privacy (DP) upper bounds the information ...
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10/09/2019
Private Protocols for U-Statistics in the Local Model and Beyond
In this paper, we study the problem of computing U-statistics of degree ...
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10/02/2019
Unsupervised Doodling and Painting with Improved SPIRAL
We investigate using reinforcement learning agents as generative models ...
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06/19/2019
Unsupervised Learning of Object Keypoints for Perception and Control
The study of object representations in computer vision has primarily foc...
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12/28/2018
Answering Range Queries Under Local Differential Privacy
Counting the fraction of a population having an input within a specified...
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12/03/2018
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
Advances in Deep Reinforcement Learning have led to agents that perform ...
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11/28/2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Learning to control an environment without hand-crafted rewards or exper...
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04/03/2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Advances in deep generative networks have led to impressive results in r...
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11/08/2017
Marginal Release Under Local Differential Privacy
Many analysis and machine learning tasks require the availability of mar...
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10/02/2017
Constrained Differential Privacy for Count Data
Concern about how to aggregate sensitive user data without compromising ...
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06/30/2015