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Workshop
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Theory and Algorithm for Batch Distribution Drift Problems
Pranjal Awasthi · Corinna Cortes · Christopher Mohri
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Poster
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Tue 9:00
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Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
Binghui Peng · Andrej Risteski
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Poster
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Trustworthy Monte Carlo
Juha Harviainen · Mikko Koivisto · Petteri Kaski
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Poster
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Thu 9:00
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Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet · Saurabh Amin · Patrick Jaillet
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Workshop
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Sat 7:10
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Domain Adaptation: Theory, Algorithms, and Open Library
Mingsheng Long
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Poster
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How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
Yoav Kolumbus · Noam Nisan
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Poster
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Wed 9:00
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Scalable and Efficient Non-adaptive Deterministic Group Testing
Dariusz Kowalski · Dominik Pajak
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Poster
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Wed 14:00
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On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
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Poster
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Thu 14:00
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Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
Grigory Malinovsky · Kai Yi · Peter Richtarik
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Poster
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Thu 14:00
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Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
Alireza Fallah · Ali Makhdoumi · azarakhsh malekian · Asuman Ozdaglar
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