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On the rate of convergence of Bregman proximal methods in constrained variational inequalities., , , and . CoRR, (2022)A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2863-2873. PMLR, (2020)Expressive Power of Invariant and Equivariant Graph Neural Networks., and . ICLR, OpenReview.net, (2021)Linear Lower Bounds and Conditioning of Differentiable Games., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4583-4593. PMLR, (2020)A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games, , , and . (2019)cite arxiv:1906.05945.Lower Bounds and Conditioning of Differentiable Games, , , and . (2019)cite arxiv:1906.07300Comment: Submitted to NeurIPS 2019.Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation., , and . CoRR, (2023)Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models., , and . CoRR, (2023)The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 326-358. PMLR, (2021)A Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games, , , and . (2019)cite arxiv:1906.05945.