Content tagged with 2024

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• [W10] Tamed Langevin sampling under weaker conditions
• [W9] On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos
• [W8] Explicit second-order min-max optimization methods with optimal convergence guarantees
• [J44] Nested replicator dynamics, nested logit choice, and similarity-based learning
• [J43] The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness
• [J42] Quick or cheap? Breaking points in dynamic markets
• [J41] A unified stochastic approximation framework for learning in games
• [C94] Accelerated regularized learning in finite $N$-person games
• [C93] No-regret learning in harmonic games: Extrapolation in the presence of conflicting interests
• [C92] A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights
• [C91] The computational complexity of finding second-order stationary points
• [C90] What is the long-run distribution of stochastic gradient descent? A large deviations analysis