Poster
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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
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Oral
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Tue 1:40
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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
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Poster
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Mon 7:30
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Trading Information between Latents in Hierarchical Variational Autoencoders
Tim Xiao · Robert Bamler
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Poster
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Tue 2:30
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Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol · Stefan Zohren · S Roberts
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Oral
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Tue 6:50
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GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
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Poster
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Tue 2:30
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Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
Xiaolin Hu · Shaojie Li · Yong Liu
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Poster
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Tue 7:30
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GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
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Poster
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Exponential Generalization Bounds with Near-Optimal Rates for Lq-Stable Algorithms
Xiaotong Yuan · Ping Li
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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 7:30
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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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Mon 2:30
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A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
Sungyoon Lee · Cheongjae Jang
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