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Spotlight
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Poster
Tue 16:30 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Workshop
Tue 7:30 Philipp Grohs - The Theory-to-Practice Gap in Deep Learning
Philipp Grohs
Poster
Wed 0:30 Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand · Amir Joudaki · Francis Bach
Workshop
Mon 11:55 Benefits of using optimal transport in computational learning and inversion
Yunan Yang
Poster
Tue 8:30 Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir · James Hensman · Mark van der Wilk · Carl Henrik Ek · Zoubin Ghahramani · Nicolas Durrande
Poster
Tue 8:30 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Workshop
Mon 13:00 Keynote: Dorsa Sadigh (Theory and Practice of Partner-Aware Algorithms in Multi-Agent Coordination)
Poster
Thu 0:30 Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
Poster
Tue 8:30 Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Wed 0:30 Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans · Matilde Tristany Farinha · Javier Garcia Ordonez · Pau Vilimelis Aceituno · João Sacramento · Benjamin F. Grewe
Poster
Wed 16:30 Online Learning in Periodic Zero-Sum Games
Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff