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Oral
Wed Jul 26 12:30 PM -- 12:38 PM (KST) @ Meeting Room 316 A-C None
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
In Oral A3 ML Theory
Vishwaraj Doshi · Jie Hu · Do-Young Eun
[ Slides]  [ PDF] 
Oral
Wed Jul 26 12:38 PM -- 12:46 PM (KST) @ Meeting Room 316 A-C None
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
In Oral A3 ML Theory
Jaeyoung Cha · Jaewook Lee · Chulhee Yun
[ Slides]  [ PDF] 
Oral
Wed Jul 26 12:46 PM -- 12:54 PM (KST) @ Meeting Room 316 A-C None
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
In Oral A3 ML Theory
Yihao Xue · Siddharth Joshi · Eric Gan · Pin-Yu Chen · Baharan Mirzasoleiman
[ Slides]  [ PDF] 
Oral
Wed Jul 26 12:54 PM -- 01:02 PM (KST) @ Meeting Room 316 A-C None
Tighter Information-Theoretic Generalization Bounds from Supersamples
In Oral A3 ML Theory
Ziqiao Wang · Yongyi Mao
[ PDF] 
Oral
Wed Jul 26 01:02 PM -- 01:10 PM (KST) @ Meeting Room 316 A-C None
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
In Oral A3 ML Theory
Simone Bombari · Shayan Kiyani · Marco Mondelli
[ PDF] 
Oral
Wed Jul 26 01:10 PM -- 01:18 PM (KST) @ Meeting Room 316 A-C None
Bayes-optimal Learning of Deep Random Networks of Extensive-width
In Oral A3 ML Theory
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
[ Slides]  [ PDF] 
Oral
Wed Jul 26 01:18 PM -- 01:26 PM (KST) @ Meeting Room 316 A-C None
Why does Throwing Away Data Improve Worst-Group Error?
In Oral A3 ML Theory
Kamalika Chaudhuri · Kartik Ahuja · Martin Arjovsky · David Lopez-Paz
[ PDF] 
Oral
Wed Jul 26 01:26 PM -- 01:34 PM (KST) @ Meeting Room 316 A-C None
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
In Oral A3 ML Theory
David Wipf
[ Slides]  [ PDF] 
Oral
Wed Jul 26 01:34 PM -- 01:42 PM (KST) @ Meeting Room 316 A-C None
Sharper Bounds for $\ell_p$ Sensitivity Sampling
In Oral A3 ML Theory
David Woodruff · Taisuke Yasuda
[ PDF] 
Oral
Wed Jul 26 01:42 PM -- 01:50 PM (KST) @ Meeting Room 316 A-C None
AdaBoost is not an Optimal Weak to Strong Learner
In Oral A3 ML Theory
Mikael Møller Høgsgaard · Kasper Green Larsen · Martin Ritzert
[ PDF] 
Oral
Wed Jul 26 01:50 PM -- 01:58 PM (KST) @ Meeting Room 316 A-C None
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
In Oral A3 ML Theory
Emmanuel Abbe · Samy Bengio · Aryo Lotfi · Kevin Rizk
[ PDF]