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Statistical Learning

4076 directly classified papers

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Papers

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation ICML 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness COLT 2023
Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023
An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech INTERSPEECH 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data ICML 2023
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023
DRCFS: Doubly Robust Causal Feature Selection ICML 2023
Fine-Grained Distribution-Dependent Learning Curves COLT 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts ICML 2023
Fast and scalable score-based kernel calibration tests UAI 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023
A/B Testing in Network Data with Covariate-Adaptive Randomization ICML 2023
Bandit Learnability can be Undecidable COLT 2023
Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes COLT 2023
Great Bibliographies as a Source of Data for the Humanities – NLP in the Analysis of Gender of Book Authors in German Countries and in Poland (1801-2021) EACL 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Compression, Generalization and Learning JMLR 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023
The Geometry and Calculus of Losses JMLR 2023