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Statistical Learning

4,117 papers

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Papers

Model-X Sequential Testing for Conditional Independence via Testing by Betting AISTATS 2023
Mixed-Effect Thompson Sampling AISTATS 2023
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning AISTATS 2023
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023
On the bias of K-fold cross validation with stable learners AISTATS 2023
The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023
Bayesian Strategy-Proof Facility Location via Robust Estimation AISTATS 2023
A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Is interpolation benign for random forest regression? AISTATS 2023
A Contrastive Approach to Online Change Point Detection AISTATS 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023
Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023
Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023