Statistical Learning
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Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach Guillaume Wang
Neural Information Processing Systems
In this paper, we investigate how to extend the MFLD framework to convex optimization problems over signed measures.
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Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks
Guodong Zhang, James Martens, Roger B. Grosse
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
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In our work, we propose the first distributed method with client sampling and provable tolerance to Byzantine workers.
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