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Poster
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Tue 14:00 |
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms Tengyu Xu · Yingbin Liang |
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Poster
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Tue 14:00 |
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm Majid Jahani · MohammadReza Nazari · Rachael Tappenden · Albert Berahas · Martin Takac |
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Poster
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Tue 14:00 |
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk |
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Poster
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Tue 14:00 |
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates Damien Scieur · Lewis Liu · Thomas Pumir · Nicolas Boumal |
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Poster
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Tue 14:00 |
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary Charles · Jakub Konečný |
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Poster
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Tue 14:00 |
Alternating Direction Method of Multipliers for Quantization Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn |
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Poster
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Tue 14:00 |
Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT Vaggos Chatziafratis · Mohammad Mahdian · Sara Ahmadian |
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Poster
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Tue 14:00 |
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications Shinsaku Sakaue |
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Poster
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Tue 14:00 |
Random Coordinate Underdamped Langevin Monte Carlo Zhiyan Ding · Qin Li · Jianfeng Lu · Stephen Wright |
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Poster
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Tue 14:00 |
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization Jelena Diakonikolas · Constantinos Daskalakis · Michael Jordan |
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Poster
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Tue 18:30 |
Maximal Couplings of the Metropolis-Hastings Algorithm Guanyang Wang · John O'Leary · Pierre Jacob |
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Poster
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Tue 18:30 |
vqSGD: Vector Quantized Stochastic Gradient Descent Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar |