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Workshop
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Topological Ensemble Detection with Differentiable Yoking
David Klindt · Sigurd Gaukstad · Erik Hermansen · Melvin Vaupel · Benjamin Dunn
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Workshop
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Learning to Continually Learn with Topological Regularization
Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen
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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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Tue 9:00
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Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
John Duchi · Vitaly Feldman · Lunjia Hu · Kunal Talwar
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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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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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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 14:00
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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
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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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Affinity Workshop
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Domain-Specific Lexicon-Based Sentiment Analysis using Contextual Shifter Patterns
Shamsuddeen H Muhammad
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Poster
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Wed 9:00
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Efficiency Ordering of Stochastic Gradient Descent
Jie Hu · Vishwaraj Doshi · Do-Young Eun
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Workshop
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Explicitly Nonlinear Connectivity-Matrix Independent Component Analysis in Resting fMRI Data
Sara Motlaghian
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