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102 Results
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Workshop
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Fri 11:10 |
Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text |
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Workshop
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Fri 11:30 |
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta · Kartik Ahuja · Mohammad Havaei · Niladri Chatterjee · Yoshua Bengio |
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Poster
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Thu 9:00 |
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints Xinmeng Huang · Donghwan Lee · Edgar Dobriban · Hamed Hassani |
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Workshop
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Sat 13:00 |
Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui |
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Workshop
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Distributional deep Q-learning with CVaR regression Mastane Achab · REDA ALAMI · YASSER ABDELAZIZ DAHOU DJILALI · Kirill Fedyanin · Eric Moulines · Maxim Panov |
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Poster
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Tue 14:00 |
What You See is What You Get: Principled Deep Learning via Distributional Generalization Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jarosław Błasiok · Preetum Nakkiran |
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Poster
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Wed 14:00 |
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry · Julius von Kügelgen · Bernhard Schölkopf |
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Poster
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Tue 14:00 |
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning Niclas Boehmer · Robert Bredereck · Edith Elkind · Piotr Faliszewski · Stanisław Szufa |
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Poster
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Thu 14:00 |
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning Jifeng Hu · Yanchao Sun · Hechang Chen · Sili Huang · haiyin piao · Yi Chang · Lichao Sun |
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Workshop
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Federated Learning under Distributed Concept Drift Ellango Jothimurugesan · Kevin Hsieh · Jianyu Wang · Gauri Joshi · Phillip Gibbons |
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Workshop
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Sat 10:30 |
Federated Learning for Appearance-based Gaze Estimation in the Wild Mayar Elfares · Zhiming Hu · Pascal Reisert · Andreas Bulling · Ralf Küsters |
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Workshop
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Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun · Nikhil Ghosh · Saurabh Garg · Boaz Barak · Preetum Nakkiran |