Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric

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Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization

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Optimality and Stability in Non-Convex Smooth Games

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SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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Model Averaging Is Asymptotically Better Than Model Selection For Prediction

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Active Learning for Nonlinear System Identification with Guarantees

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An improper estimator with optimal excess risk in misspecified density estimation and logistic regression

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A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One

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Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning

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Novel Min-Max Reformulations of Linear Inverse Problems

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Data-Derived Weak Universal Consistency

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MurTree: Optimal Decision Trees via Dynamic Programming and Search

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Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting

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On Biased Stochastic Gradient Estimation

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Fast and Robust Rank Aggregation against Model Misspecification

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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data

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Evolutionary Variational Optimization of Generative Models

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Supervised Dimensionality Reduction and Visualization using Centroid-Encoder

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Universal Approximation in Dropout Neural Networks

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Decimated Framelet System on Graphs and Fast G-Framelet Transforms

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