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13 Results
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Workshop
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Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization Mher Safaryan · Filip Hanzely · Peter Richtarik |
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Workshop
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Fri 11:06 |
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization Mher Safaryan · Filip Hanzely · Peter Richtarik |
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Poster
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Wed 1:00 |
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning Samuel Horváth · Peter Richtarik |
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Spotlight
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Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Wed 9:00 |
Modeling the Second Player in Distributionally Robust Optimization Paul Michel · Tatsunori Hashimoto · Graham Neubig |
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Poster
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Tue 1:00 |
Coping with Label Shift via Distributionally Robust Optimisation Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville |
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Oral
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Mon 11:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Poster
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Mon 17:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Poster
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Mon 9:00 |
Adaptive Federated Optimization Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan |
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Poster
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Wed 1:00 |
Byzantine-Resilient Non-Convex Stochastic Gradient Descent Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh |