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Workshop
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Tree-Regularized Tabular Embeddings
Xuan Li · Yun Wang · Bo Li
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Poster
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Wed 8:45
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Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
Taira Tsuchiya · Shinji Ito · Junya Honda
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Poster
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Thu 15:00
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All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang · Zhe Chen · Shanshan Zhao · Chaoyue Wang · Dacheng Tao
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Workshop
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Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
Heng Zhu · Arya Mazumdar
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Workshop
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Deep Learning with Physics Priors as Generalized Regularizers
Frank Liu · Agniva Chowdhury
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Workshop
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How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
Mo Zhou · Rong Ge
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Workshop
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Learning to ignore: Single Source Domain Generalization via Oracle Regularization
Dong Kyu Cho · Sanghack Lee
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Workshop
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New Horizons in Parameter Regularization: A Constraint Approach
Jörg Franke · Michael Hefenbrock · Gregor Koehler · Frank Hutter
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Workshop
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Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line
Rishi Sonthalia · Xinyue (Serena) Li · Bochao Gu
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Workshop
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ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen · Jing Wu · NAIRA HOVAKIMYAN · Handong Yao
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Workshop
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Deep neural networks with dependent weights: \\Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee · Fadhel Ayed · Paul Jung · Juho Lee · Hongseok Yang · Francois Caron
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Workshop
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What’s in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang · Sam Buchanan · Jeremias Sulam
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