Search All 2022 Events
 

23 Results

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Panel
Wed 17:45 Panel 4A-2: Adaptively Exploiting d-Separators… & On the Complexity…
Blair Bilodeau · Ayush Sekhari
Poster
Tue 14:00 Adaptively Exploiting d-Separators with Causal Bandits
Blair Bilodeau · Linbo Wang · Dan Roy
Workshop
Integrating AI, automation and multiscale simulations for end-to-end design of phase-separating proteins
Arvind Ramanathan
Poster
Tue 9:00 Function Classes for Identifiable Nonlinear Independent Component Analysis
Simon Buchholz · Michel Besserve · Bernhard Schölkopf
Poster
Thu 9:00 On Infinite Separations Between Simple and Optimal Mechanisms
Alexandros Psomas · Ariel Schvartzman Cohenca · S. Weinberg
Poster
Wed 9:00 Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Jeff Z. HaoChen · Colin Wei · Ananya Kumar · Tengyu Ma
Poster
Tue 9:00 An Algorithm for Learning Switched Linear Dynamics from Data
Guillaume Berger · Monal Narasimhamurthy · Kandai Watanabe · Morteza Lahijanian · Sriram Sankaranarayanan
Poster
Thu 14:00 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
Yu-Guan Hsieh · Kimon Antonakopoulos · Volkan Cevher · Panayotis Mertikopoulos
Panel
Tue 17:30 Panel 2C-3: A permutation-free kernel… & Maximum Class Separation…
Tejaswi Kasarla · Shubhanshu Shekhar
Panel
Wed 9:45 Panel 3B-2: Exponential Separations in… & The Neural Covariance…
Aaron Zweig · Mihai Nica
Poster
Wed 14:00 Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
Moitreya Chatterjee · Narendra Ahuja · Anoop Cherian
Poster
Thu 14:00 Exponential Separations in Symmetric Neural Networks
Aaron Zweig · Joan Bruna