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Poster
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Fri 11:00
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Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
François Bertholom · randal douc · François Roueff
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Poster
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Fri 16:30
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Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
Yifei Zhang · Huan-ang Gao · zhou jiang · Hao Zhao
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Affinity Event
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A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
Jhoan Keider Hoyos · Luis Sanchez Giraldo
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Poster
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Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
Jiaming Lv · Haoyuan Yang · Peihua Li
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Affinity Event
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On Divergence Measures for Training GFlowNets
Tiago Silva · Eliezer de Souza da Silva · Diego Mesquita
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Poster
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Wed 16:30
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Divergences between Language Models and Human Brains
Yuchen Zhou · Emmy Liu · Graham Neubig · Michael Tarr · Leila Wehbe
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Poster
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Fri 16:30
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On f-Divergence Principled Domain Adaptation: An Improved Framework
Ziqiao Wang · Yongyi Mao
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Poster
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Wed 16:30
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Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
Thomas Kwa · Drake Thomas · Adrià Garriga-Alonso
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Poster
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Fri 11:00
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Mutual Information Estimation via f-Divergence and Data Derangements
Nunzio Alexandro Letizia · Nicola Novello · Andrea M Tonello
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Poster
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Wed 16:30
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Near-Optimality of Contrastive Divergence Algorithms
Pierre Glaser · Kevin Han Huang · Arthur Gretton
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Poster
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Fri 16:30
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Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
Anna Korba · Francis Bach · Clémentine CHAZAL
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Affinity Event
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Tue 9:10
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A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
Jhoan Keider Hoyos
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