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Workshop
Fri 6:30 Data-Efficient Training of Autoencoders for Mildly Non-Linear Problems
Muhammad Al-Digeil
Poster
Wed 1:00 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng · Honghao Lin
Spotlight
Wed 5:15 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
Spotlight
Thu 19:35 What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang · Dean Foster · Sham M Kakade
Oral
Wed 3:15 Rethinking Attention with Performers
Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller
Poster
Wed 9:00 TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Martin Trimmel · Henning Petzka · Cristian Sminchisescu
Poster
Thu 9:00 Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
Poster
Mon 17:00 What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang · Dean Foster · Sham M Kakade
Poster
Tue 17:00 A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
Poster
Wed 17:00 Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Wuyang Chen · Xinyu Gong · Zhangyang Wang
Poster
Tue 9:00 Rethinking Attention with Performers
Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller
Poster
Mon 17:00 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta