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Poster
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Fri 11:00
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Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo · Diego Klabjan
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Poster
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Thu 16:30
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Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao · Bingnan Li · Mathieu Salzmann · Xuming He
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Workshop
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Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh · Tiankang Xie · Mikhail Kuznetsov
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Workshop
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On Optimal Subgroups for Group Distributionally Robust Optimisation
Anissa Alloula · Daniel McGowan · Bartlomiej W. Papiez
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Poster
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Thu 11:00
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Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo · Tianbao Yang
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Workshop
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Sat 12:00
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Robust Conformal Prediction Using Privileged Information
Shai Feldman · Yaniv Romano
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Poster
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Wed 11:00
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
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Workshop
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A Second-Order Algorithm for Empirical Group Distributionally Robust Regression
Naren Manoj · Kumar Kshitij Patel
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Workshop
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A Fast, Robust Elliptical Slice Sampling Method for Truncated Multivariate Normal Distributions
Kaiwen Wu · Jacob Gardner
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Poster
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Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
seyed amir saberi · Amir Najafi · Amin Behjati · Ala Emrani · Yasaman Zolfimoselo · Shadrooy · Abolfazl Motahari · Babak Khalaj
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Poster
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Fri 11:00
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Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas
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Poster
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Wed 16:30
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Learning from Noisy Labels via Conditional Distributionally Robust Optimization
Hui GUO · Grace Yi · Boyu Wang
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