Statistical Learning

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models NAACL 2024 Iterate Averaging in the Quest for Best Test Error JMLR 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation ACL 2024 Label Noise: Ignorance Is Bliss NeurIPS 2024 Label Noise Robustness of Conformal Prediction JMLR 2024 Large language model validity via enhanced conformal prediction methods NeurIPS 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time ACL 2024 Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios NeurIPS 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from many trajectories JMLR 2024 Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG ICLR 2024 Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 Learning Triangular Distribution in Visual World CVPR 2024 Learning Under Random Distributional Shifts AISTATS 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 Least Squares Regression Can Exhibit Under-Parameterized Double Descent NeurIPS 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! ICML 2024