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Poster
Thu 14:00 Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
Poster
Wed 14:00 Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt · Viktor Bengs · Björn Haddenhorst · Eyke Hüllermeier
Poster
Tue 9:00 On the Complexity of Adversarial Decision Making
Dylan J Foster · Alexander Rakhlin · Ayush Sekhari · Karthik Sridharan
Poster
Wed 9:00 Best of Both Worlds Model Selection
Aldo Pacchiano · Christoph Dann · Claudio Gentile
Poster
Tue 9:00 Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Rayan Mazouz · Karan Muvvala · Akash Ratheesh Babu · Luca Laurenti · Morteza Lahijanian
Poster
Wed 9:00 Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Soon Hoe Lim · Yijun Wan · Umut Simsekli
Poster
Wed 9:00 Online Learning and Pricing for Network Revenue Management with Reusable Resources
Huiwen Jia · Cong Shi · Siqian Shen
Poster
Tue 9:00 How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener · Asja Fischer
Poster
A Variant of Anderson Mixing with Minimal Memory Size
Fuchao Wei · Chenglong Bao · Yang Liu · Guangwen Yang
Poster
Tue 9:00 On Sample Optimality in Personalized Collaborative and Federated Learning
Mathieu Even · Laurent Massoulié · Kevin Scaman
Poster
Thu 14:00 Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
Anastasiia Koloskova · Sebastian Stich · Martin Jaggi
Poster
Tue 9:00 Active Ranking without Strong Stochastic Transitivity
Hao Lou · Tao Jin · Yue Wu · Pan Xu · Quanquan Gu · Farzad Farnoud