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93 Results
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Poster
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Wed 9:00 |
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference Guillaume Huguet · Daniel Sumner Magruder · Alexander Tong · Oluwadamilola Fasina · Manik Kuchroo · Guy Wolf · Smita Krishnaswamy |
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Workshop
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Fri 9:30 |
Let’s Give Domain Experts a Choice by Creating Many Approximately-Optimal Machine Learning Models Cynthia Rudin |
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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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Poster
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Thu 14:00 |
Fair Rank Aggregation Diptarka Chakraborty · Syamantak Das · Arindam Khan · Aditya Subramanian |
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Workshop
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Optimal Transport for Offline Imitation Learning Yicheng Luo · zhengyao Jiang · Samuel Cohen · Edward Grefenstette · Marc Deisenroth |
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Affinity Workshop
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Meta Optimal Transport Brandon Amos · Samuel Cohen · Giulia Luise · Ievgen Redko |
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Poster
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Thu 14:00 |
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials Eshaan Nichani · Yu Bai · Jason Lee |
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Poster
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Thu 9:00 |
Latent Hierarchical Causal Structure Discovery with Rank Constraints Biwei Huang · Charles Jia Han Low · Feng Xie · Clark Glymour · Kun Zhang |
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Poster
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Wed 9:00 |
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition Daeha Kim · Byung Cheol Song |
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Poster
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Thu 14:00 |
Efficient and Effective Optimal Transport-Based Biclustering Chakib Fettal · lazhar labiod · Mohamed NADIF |
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Workshop
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LOTUS: Learning to learn with Optimal Transport in Unsupervised Scenarios prabhant singh · Joaquin Vanschoren |
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Workshop
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A Variable-Coefficient Nuclear Norm Penalty for Low Rank Inference Nathan Wycoff · Ali Arab · Lisa Singh |