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Linear Response Estimators for Singular Statistical Models

Statistical inference with belief functions: A survey

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Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions

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Information-theoretic Limits of Learning and Estimation

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Realizable Bayes-Consistency for General Metric Losses

Vanishing L2 regularization for the softmax Multi Armed Bandit

Imbalanced Classification under Capacity Constraints

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Extrapolation in Statistical Learning with Extreme Value Theory

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality

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Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport

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Query Lower Bounds for Diffusion Sampling

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Conformal Policy Control

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Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks

Optimal In-context Adaptivity and Distributional Robustness of Transformers

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Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition

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