21 Results

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