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Poster
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On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
Anish Chakrabarty · Swagatam Das
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Poster
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Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang · Jiahua Chen
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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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Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
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Poster
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Conditional Meta-Learning of Linear Representations
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
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Poster
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Wed 14:00
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An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon · Benjamin Van Roy
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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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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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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 9:00
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Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
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Poster
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Thu 9:00
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A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Michael Pearce · Elena A. Erosheva
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Workshop
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Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
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