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Poster
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Thu 5:00 |
Nonstochastic Contextual Combinatorial Bandits Lukas Zierahn · Dirk van der Hoeven · Nicolò Cesa-Bianchi · Gergely Neu |
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Poster
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Thu 5:00 |
Sampling From a Schrödinger Bridge Austin J. Stromme |
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Poster
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Wed 7:30 |
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju · Dongyue Li · Aneesh Sharma · Hongyang Zhang |
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Poster
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Wed 7:30 |
Algorithm for Constrained Markov Decision Process with Linear Convergence Egor Gladin · Maksim Lavrik-Karmazin · Karina Zainullina · Varvara Rudenko · Alexander Gasnikov · Martin Takac |
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Poster
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Thu 5:00 |
Adversarial robustness of VAEs through the lens of local geometry Asif Khan · Amos Storkey |
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Poster
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Thu 5:00 |
Recurrent Neural Networks and Universal Approximation of Bayesian Filters Adrian N. Bishop · Edwin V. Bonilla |
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Oral
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Tue 7:00 |
Implications of sparsity and high triangle density for graph representation learning Hannah Sansford · Alexander Modell · Nick Whiteley · Patrick Rubin-Delanchy |
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Oral
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Thu 2:15 |
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan · Kevin Hsieh · Jianyu Wang · Gauri Joshi · Phillip B Gibbons |
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Test Of Time
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Wed 5:00 |
Deep Gaussian Processes Neil Lawrence · Andreas Damianou |
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Invited Talk
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Thu 0:00 |
An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions? Tamara Broderick |
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Invited Talk
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Tue 0:00 |
Causal Effect Estimation with Context and Confounders Arthur Gretton |
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Poster
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Tue 7:30 |
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Youssef Allouah · Sadegh Farhadkhani · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan |