Confidence Region Estimation

Momentum

6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 23

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  1. Possibilistic Radial Transport for Approximate IM Inference

    Oct 7, 2026Jungeum Kim, Percy ZhaiConfidence Region EstimationAmortized Inference

  2. Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget

    Oct 6, 2026Pramita Bagchi, Edward Bae, Atish Mitra +3Two-Sample TestingConfidence Region Estimation

  3. Sharp Limits for Honest Uncertainty in Hard-Budget Repeated Evaluation

    Sep 24, 2026Yezhou Cheng, Runjia Du, Zeming Liu +5Confidence Region EstimationUncertainty Quantification

  4. Tail-Aware Geometry Learning for Conformal Ellipsoids

    Sep 23, 2026Xiang ZhangConfidence Region EstimationConformal Prediction

  5. Locally Private Inference for Riemannian Stochastic Optimization

    Sep 18, 2026Xiaotian Chang, Yangdi Jiang, Qirui HuRiemannian OptimizationConfidence Region Estimation

  6. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift

    Sep 13, 2026Mushan Li, Kihyun Han, Yanyuan MaLabel ShiftConfidence Region Estimation

  7. What Fixed-Rollout pass@k Evaluations Can Identify

    Sep 10, 2026Pranav Singh, Prashant SinghConfidence Region EstimationPartial Identification

  8. MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

    Sep 8, 2026Balázs Csanád Csáji, Bálint HorváthConfidence Region EstimationNonparametric Regression

  9. Aggregate Disambiguation Systems

    Aug 31, 2026José María Lago, Albert Castellana, Edgars NemšeAnnotator DisagreementConfidence Region Estimation

  10. Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling

    Aug 11, 2026Min Zeng, Yichen Zhang, Xiaofeng ShaoConfidence Region EstimationStochastic Approximation

  11. ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency

    Aug 9, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Confidence Region EstimationConformal Prediction

  12. Prediction-Powered Active Testing

    Jul 9, 2026Kianoosh Ashouritaklimi, Valentin Kilian, Daolang Huang +2Confidence Region EstimationVariance Reduction

  13. Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data

    Jun 24, 2026Kylie AnglinLLM EvaluationConfidence Region Estimation

  14. Distribution-free changepoint localization after sequential change detection

    May 31, 2026Aytijhya Saha, Aaditya RamdasConfidence Region EstimationDistribution Shift Detection

  15. Statistical Inference for Stochastic Gradient Descent Beyond Finite Variance

    May 25, 2026Jose Blanchet, Peter Glynn, Wenhao YangStochastic OptimizationConfidence Region Estimation

  16. Approximate full conformal prediction in an RKHS

    Jan 19, 2026Davidson Lova Razafindrakoto, Alain Celisse, Jérôme LacailleConfidence Region EstimationConformal Prediction

  17. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Parameter EstimationConfidence Region Estimation

  18. Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations

    Dec 23, 2018Balázs Csanád Csáji, Krisztián Balázs KisConfidence Region EstimationUncertainty Quantification