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11 Results

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Poster
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae · Michael Zhang · Michael Ruan · Duanyang Wang · So Hasegawa · Jimmy Ba · Roger Grosse
Oral
Tue 1:40 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae · Michael Zhang · Michael Ruan · Duanyang Wang · So Hasegawa · Jimmy Ba · Roger Grosse
Poster
Mon 7:30 Trading Information between Latents in Hierarchical Variational Autoencoders
Tim Xiao · Robert Bamler
Poster
Tue 2:30 Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol · Stefan Zohren · S Roberts
Oral
Tue 6:50 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
Poster
Tue 2:30 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
Xiaolin Hu · Shaojie Li · Yong Liu
Poster
Tue 7:30 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
Poster
Exponential Generalization Bounds with Near-Optimal Rates for Lq-Stable Algorithms
Xiaotong Yuan · Ping Li
Oral
Wed 7:00 Learning with Stochastic Orders
Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh
Poster
Wed 7:30 Learning with Stochastic Orders
Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh
Poster
Mon 2:30 A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
Sungyoon Lee · Cheongjae Jang