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Poster
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Wed 9:00
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Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang · Haonan Wang · Cheng-Yu Hsieh · Alexander Ratner
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Poster
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Tue 9:00
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A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park · Sangdoo Yun · Sanghyuk Chun
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Poster
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Tue 14:00
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CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Stephanie Schoch · Haifeng Xu · Yangfeng Ji
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Workshop
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Modeling Temporal Data as Continuous Functions with Process Diffusion
Marin Biloš · Kashif Rasul · Anderson Schneider · Yuriy Nevmyvaka · Stephan Günnemann
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Poster
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Thu 9:00
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NOMAD: Nonlinear Manifold Decoders for Operator Learning
Jacob Seidman · Georgios Kissas · Paris Perdikaris · George J. Pappas
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Workshop
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Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li · Song Jiang · Yizhou Sun · Judea Pearl
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Poster
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Tue 9:00
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Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Prasanna Sattigeri · Soumya Ghosh · Inkit Padhi · Pierre Dognin · Kush Varshney
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Poster
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Wed 9:00
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Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
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Poster
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Wed 9:00
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Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Carlos Misael Madrid Padilla · Daren Wang · Zifeng Zhao · Yi Yu
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Poster
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Wed 9:00
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Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Abir De · Soumen Chakrabarti
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Poster
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Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
Ruofan Liu · Yun Lin · XIANGLIN YANG · Jin Song Dong
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Poster
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Wed 9:00
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Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime
Naoki Nishikawa · Taiji Suzuki · Atsushi Nitanda · Denny Wu
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