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Poster
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Building Normalizing Flows with Stochastic Interpolants
Michael Albergo · Eric Vanden-Eijnden
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Poster
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Wed 2:30
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How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson
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Oral
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Wed 7:00
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Learning with Stochastic Orders
Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh
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Poster
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Wed 2:30
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RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
Laurent Condat · Peter Richtarik
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Workshop
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Geometric constraints improve inference of sparsely observed stochastic dynamics
Dimitra Maoutsa
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Poster
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Tue 2:30
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Dichotomy of Control: Separating What You Can Control from What You Cannot
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
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Oral
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Tue 2:00
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Dichotomy of Control: Separating What You Can Control from What You Cannot
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
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Poster
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Wed 2:30
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Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
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Oral
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Wed 1:30
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Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
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Poster
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Mon 2:30
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Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Zhitong Gao · Yucong Chen · Chuyu Zhang · Xuming He
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Poster
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Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Lyndon Duong · Jingyang Zhou · Josue Nassar · Jules Berman · Jeroen Olieslagers · Alex Williams
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Poster
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Mon 2:30
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Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
Yannick Hogewind · Thiago D. Simão · Tal Kachman · Nils Jansen
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