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Selecting the Best in GANs Family: a Post Selection Inference Framework., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics., , and . ICLR, OpenReview.net, (2023)Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis., , and . NeurIPS, page 19608-19621. (2021)Understanding the Variance Collapse of SVGD in High Dimensions., , , , , , and . ICLR, OpenReview.net, (2022)Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization., , , and . ICLR, OpenReview.net, (2022)Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data., , , and . ICLR, OpenReview.net, (2024)Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator., , , , , , and . ICLR (Poster), OpenReview.net, (2019)High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation., , , , , and . NeurIPS, (2022)Convex Analysis of the Mean Field Langevin Dynamics., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9741-9757. PMLR, (2022)Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint., , , , and . ICLR, OpenReview.net, (2020)