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Poster
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Tue 17:00
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A Category-theoretical Meta-analysis of Definitions of Disentanglement
Yivan Zhang · Masashi Sugiyama
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Poster
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Thu 16:30
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Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Yongho Shin · Changyeol Lee · Gukryeol Lee · Hyung-Chan An
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Poster
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Tue 14:00
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A Reinforcement Learning Framework for Dynamic Mediation Analysis
Lin Ge · Jitao Wang · Chengchun Shi · Zhenke Wu · Rui Song
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Poster
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Thu 13:30
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Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
Hongrui Chen · Holden Lee · Jianfeng Lu
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Poster
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Tue 17:00
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Sampling random graph homomorphisms and applications to network data analysis
Hanbaek Lyu · Facundo Memoli · David Sivakoff
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Poster
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Wed 17:00
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Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
Hu Sun · Ward Manchester · Meng Jin · Yang Liu · Yang Chen
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Poster
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Thu 13:30
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Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu · Xidong Wu · Heng Huang
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Poster
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Tue 17:00
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Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Weiwei Lin · Chenhang He · Man-Wai Mak · Youzhi Tu
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Poster
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Wed 14:00
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When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
Yiyou Sun · Zhenmei Shi · Yingyiu Liang · Sharon Li
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Oral
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Wed 20:12
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Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
Xiaoyun Li · Ping Li
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Poster
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Thu 13:30
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Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
Xiaoyun Li · Ping Li
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Poster
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Wed 17:00
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Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
Alexander Shekhovtsov
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