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Statistical Learning

4076 directly classified papers

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Papers

Kernel QuantTree ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 2023
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NIPS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Tilted Sparse Additive Models ICML 2023
Average case analysis of Lasso under ultra sparse conditions AISTATS 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023
Model-agnostic Measure of Generalization Difficulty ICML 2023
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023
Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks NIPS 2023
Sequential Kernelized Independence Testing ICML 2023
An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech INTERSPEECH 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023
Iterative Approximate Cross-Validation ICML 2023
Mixed-Effect Thompson Sampling AISTATS 2023