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Poster
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Tue 9:00
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Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
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Poster
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Thu 6:00
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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan · Zeyu Jia · Mengdi Wang
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Poster
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Tue 7:00
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Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai · H. Vincent Poor · Yuxin Chen
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Poster
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Tue 14:00
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Optimal Estimator for Unlabeled Linear Regression
Hang Zhang · Ping Li
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Poster
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Thu 7:00
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Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Ying Jin · Zhaoran Wang · Junwei Lu
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Poster
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Thu 12:00
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The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Yoel Drori · Ohad Shamir
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Poster
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Thu 9:00
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Generalization Error of Generalized Linear Models in High Dimensions
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
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Poster
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Tue 7:00
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A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
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Poster
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Tue 9:00
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Deep k-NN for Noisy Labels
Dara Bahri · Heinrich Jiang · Maya Gupta
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Poster
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Thu 17:00
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Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Zhaoqiang Liu · Selwyn Gomes · Avtansh Tiwari · Jonathan Scarlett
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Poster
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Wed 5:00
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Privately Learning Markov Random Fields
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
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Poster
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Tue 11:00
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Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse · Michael Gutmann
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