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Workshop
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Thu 4:00
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Project with Source, Probe with Target: Extracting Useful Features for Adaptation to Distribution Shifts
Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn
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Poster
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Understanding new tasks through the lens of training data via exponential tilting
Subha Maity · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
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Invited Talk
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Mon 23:30
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Importance-Weighting Approach to Distribution Shift Adaptation
Masashi Sugiyama
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Workshop
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Fri 10:40
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SpectraNet: multivariate forecasting and imputation under distribution shifts and missing data
Cristian Challu · Peihong Jiang · Yingnian Wu · Laurent Callot
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Workshop
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Fri 6:55
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SpectraNet: multivariate forecasting and imputation under distribution shifts and missing data
Cristian Challu · Peihong Jiang · Yingnian Wu · Laurent Callot
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Poster
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Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Subha Maity · Debarghya Mukherjee · Moulinath Banerjee · Yuekai Sun
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Workshop
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Fri 8:30
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FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts
Yongxin Guo · Xiaoying Tang · Tao Lin
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Workshop
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Fri 9:10
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FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts
Yongxin Guo · Xiaoying Tang · Tao Lin
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Poster
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A Learning Based Hypothesis Test for Harmful Covariate Shift
Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan
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Poster
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Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan · Nian Si · Kun Zhang
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Workshop
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Fri 0:10
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Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
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Workshop
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Project with Source, Probe with Target: Extracting Useful Features for Adaptation to Distribution Shifts
Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn
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