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Poster
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Tue 9:00
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Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
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Poster
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Wed 9:00
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Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
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Poster
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Tue 9:00
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A permutation-free kernel two-sample test
Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas
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Poster
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Thu 9:00
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Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet · Saurabh Amin · Patrick Jaillet
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Poster
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Tue 14:00
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Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu · David Simchi-Levi · Zhenzhen Yan
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Poster
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Tue 14:00
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Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
Kristian Georgiev · Samuel Hopkins
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Poster
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Thu 14:00
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Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca · Yuri Saporito
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Poster
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Tue 9:00
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AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Wenkai Xu · Gesine D Reinert
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Poster
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Wed 14:00
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Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer · Max Hopkins · Chutong Yang · Hantao Yu
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Poster
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"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
lingyu gu · Yongqi Du · yuan zhang · Di Xie · Shiliang Pu · Robert Qiu · Zhenyu Liao
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Poster
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Thu 14:00
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Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar
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Poster
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Thu 9:00
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Active Learning with Neural Networks: Insights from Nonparametric Statistics
Yinglun Zhu · Robert Nowak
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