statistical learning

Population Normalization for Federated Learning CVPR 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures NeurIPS 2024 Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NeurIPS 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NeurIPS 2024 Elo Uncovered: Robustness and Best Practices in Language Model Evaluation NeurIPS 2024 Estimating Shape Distances on Neural Representations with Limited Samples ICLR 2024 Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024 Gender and age based f0-variation in the German Plapper Corpus Interspeech 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024 Information-theoretic Limits of Online Classification with Noisy Labels NeurIPS 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NeurIPS 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Low Degree Hardness for Broadcasting on Trees NeurIPS 2024 Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NeurIPS 2024 Model Collapse Demystified: The Case of Regression NeurIPS 2024 More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024 Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections IJCAI 2024