Statistical Learning

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NeurIPS 2023 Transport Reversible Jump Proposals AISTATS 2023 Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023 Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics AISTATS 2023 Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023 ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision EMNLP 2023 Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 Understanding Deep Generative Models With Generalized Empirical Likelihoods CVPR 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023 Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023 Universal Rates for Multiclass Learning COLT 2023 Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models NeurIPS 2023 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Validation of a Task-Independent Cepstral Peak Prominence Measure with Voice Activity Detection Interspeech 2023 Validation of composite systems by discrepancy propagation UAI 2023 Variance Control for Distributional Reinforcement Learning ICML 2023 VeCare: Statistical Acoustic Sensing for Automotive In-Cabin Monitoring NSDI 2023 Vote’n’Rank: Revision of Benchmarking with Social Choice Theory EACL 2023 Weakly Supervised Regression with Interval Targets ICML 2023 We Need to Talk About Reproducibility in NLP Model Comparison EMNLP 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 When are ensembles really effective? NeurIPS 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023