Statistical Learning

Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution ICML 2025 Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025 Composite Goodness-of-fit Tests with Kernels JMLR 2025 Computationally efficient reductions between some statistical models ALT 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025 Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025 Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering ICLR 2025 Conformalized Interval Arithmetic with Symmetric Calibration AAAI 2025 Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation CVPR 2025 Conformal Prediction for Zero-Shot Models CVPR 2025 Conformal Prediction Sets Can Cause Disparate Impact ICLR 2025 Conformal Thresholded Intervals for Efficient Regression AAAI 2025 Consistent Validation for Predictive Methods in Spatial Settings AISTATS 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets ICLR 2025 Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025 Cross-Validated Off-Policy Evaluation AAAI 2025 Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia ACL 2025 cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM ICLR 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025