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Spotlight
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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi |
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Poster
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Tue 16:30 |
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi |
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Workshop
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Tue 7:30 |
Philipp Grohs - The Theory-to-Practice Gap in Deep Learning Philipp Grohs |
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Poster
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Wed 0:30 |
Batch Normalization Orthogonalizes Representations in Deep Random Networks Hadi Daneshmand · Amir Joudaki · Francis Bach |
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Workshop
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Mon 11:55 |
Benefits of using optimal transport in computational learning and inversion Yunan Yang |
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Poster
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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 |
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Poster
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Tue 8:30 |
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency Anish Chakrabarty · Swagatam Das |
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Workshop
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Mon 13:00 |
Keynote: Dorsa Sadigh (Theory and Practice of Partner-Aware Algorithms in Multi-Agent Coordination) |
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Poster
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Thu 0:30 |
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett |
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Poster
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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 |
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Poster
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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 |
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Poster
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Wed 16:30 |
Online Learning in Periodic Zero-Sum Games Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff |