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Statistical Learning

4076 directly classified papers

Papers per year

Papers

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking NIPS 2023
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NIPS 2023
Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks NIPS 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023
Statistical Indistinguishability of Learning Algorithms ICML 2023
The Price of Differential Privacy under Continual Observation ICML 2023
Data-Driven Subgroup Identification for Linear Regression ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Learning Distributions over Quantum Measurement Outcomes ICML 2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023
Fast Excess Risk Rates via Offset Rademacher Complexity ICML 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation ICML 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023
A Statistical Perspective on Retrieval-Based Models ICML 2023
From Robustness to Privacy and Back ICML 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023