32:35
Is Optimization the Right Language to Understand Deep Learning? - Sanjeev Arora
43:02
Emergent linguistic structure in deep contextual neural word representations - Chris Manning
22:34
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets - Rong Ge
34:44
Fixing GAN optimization through competitive gradient descent - Anima Anandkumar
28:11
Tightening information-theoretic generalization bounds with data-dependent estimate... - Daniel Roy
33:39
Spotlight Talks - Amir Asadi, Dimitris Kalimeris
31:34
PAC-Bayesian approaches to understanding generalization in deep learning - Gintare Dziugaite
33:11
Overcoming the Curse of Dimensionality and Mode Collapse - Ke Li
36:52
Are All Features Created Equal? - Aleksander Madry
39:54
Energy-based Approaches to Representation Learning - Yann LeCun
29:17
On Large Deviation Principles for Large Neural Networks - Joan Bruna
36:36
Neural Models for Speech and Language: Successes, Challenges, and the... - Michael Collins
41:18
Spotlight Talks - Various
30:47
On the Connection between Neural Networks and Kernels: a Modern Perspective -Simon Du
37:29
From Classical Statistics to Modern ML: the Lessons of Deep Learning - Mikhail Belkin
31:27
24:40
Towards a theoretical foundation of neural networks - Jason Lee
1:08:23
Panel Session - Various
33:26
Learning Representations Using Causal Invariance - Leon Bottou
30:03
Understanding the inductive bias due to dropout - Raman Arora
36:25
Interpreting Deep Neural Networks - Bin Yu
37:02
Kernel and Rich Regimes in Deep Learning - Nati Srebro
26:44
Spotlight Talks Pt1: Jiaoyang Huang, Arjun Nitin Bhagoji, Rosemary Ke
27:50
Spotlight Talks Pt2 - Sebastian Goldt, Akshay Rangamani, Omar Shehab, Or Sharir
28:05
Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
33:17
Reinforcement Learning, Deep Learning,and the Role of Policy Gradient Methods - Sham Kakade
29:55
Statistical mechanics of deep learning - Surya Ganguli
27:53
Representational Power of Graph Neural Networks - Stefanie Jegelka
35:00
Spotlight Talks Pt1 - Zhiyuan Li, John Zarka, Stanislav Fort
33:18
Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur
20:01
Spotlight Talks Pt2 - Zhifeng Kong, Daniel Paul Kunin, Omar Montasser
33:56
Designing explicit regularizers for deep models? - Tengyu Ma
