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822 papers

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Papers

Partition Function Estimation under Bounded f-Divergence COLT 2026 Privately Estimating Black-Box Statistics COLT 2026 Recursive Fréchet Mean Estimation UAI 2026 Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift CLeaR 2026 Transfer Learning via Regularized Random-effects Linear Discriminant Analysis JMLR 2026 Advocating Character Error Rate for Multilingual ASR Evaluation NAACL 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference AISTATS 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025 An Axiomatic Definition of Hierarchical Clustering JMLR 2025 A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations CVPR 2025 Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025 Approximating the Total Variation Distance between Gaussians AISTATS 2025 Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms UAI 2025 A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 Best-Arm Identification in Unimodal Bandits AISTATS 2025 Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025 Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem AISTATS 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025 Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025 Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments UAI 2025 Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength AISTATS 2025 Composite Goodness-of-fit Tests with Kernels JMLR 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025