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Poster
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Wed 14:00
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Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
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Poster
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Thu 9:00
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Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
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Poster
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Wed 14:00
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Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Samuel Daulton · Xingchen Wan · David Eriksson · Maximilian Balandat · Michael A Osborne · Eytan Bakshy
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Workshop
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Network Pruning at Scale: A Discrete Optimization Approach
Wenyu Chen · Riade Benbaki · Xiang Meng · Rahul Mazumder
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Poster
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Thu 9:00
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Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
Haoran Sun · Hanjun Dai · Dale Schuurmans
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Poster
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Tue 9:00
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Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Samarth Gupta · Saurabh Amin
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Workshop
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Predicting structural brain trajectories with discrete optimal transport normalizing flows
Mireia Masias Bruns · Miguel A. González Ballester · Gemma Piella
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Poster
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Wed 14:00
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Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Nikolaos Karalias · Joshua Robinson · Andreas Loukas · Stefanie Jegelka
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Poster
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Leveraging Inter-Layer Dependency for Post -Training Quantization
changbao wang · DanDan Zheng · Yuanliu Liu · Liang Li
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