Poster

Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang · Jiahua Chen

Poster

Thu 14:00

Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca · Yuri Saporito

Poster

On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
Anish Chakrabarty · Swagatam Das

Poster

Tue 9:00

Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li

Poster

Conditional Meta-Learning of Linear Representations
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto

Poster

Wed 14:00

An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon · Benjamin Van Roy

Poster

Thu 9:00

Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma

Poster

Thu 9:00

Active Learning with Neural Networks: Insights from Nonparametric Statistics
Yinglun Zhu · Robert Nowak

Poster

Tue 9:00

Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal

Poster

Thu 9:00

Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet · Saurabh Amin · Patrick Jaillet

Poster

Thu 9:00

A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Michael Pearce · Elena A. Erosheva

Workshop

Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine