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Statistical Learning

4076 directly classified papers

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Papers

When Do Neural Nets Outperform Boosted Trees on Tabular Data? NIPS 2023
Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023
Optimal Parameter-Transfer Learning by Semiparametric Model Averaging JMLR 2023
Deterministic equivalent and error universality of deep random features learning ICML 2023
Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Sharper Bounds for $\ell_p$ Sensitivity Sampling ICML 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023
When Does Optimizing a Proper Loss Yield Calibration? NIPS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
Mixture Proportion Estimation Beyond Irreducibility ICML 2023
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023