PAC Guarantees and Effective Algorithms for Detecting Novel Categories

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Sampling Permutations for Shapley Value Estimation

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Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks

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The correlation-assisted missing data estimator

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Structure-adaptive Manifold Estimation

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(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

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Score Matched Neural Exponential Families for Likelihood-Free Inference

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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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