confidence set

Conformal Prediction Sets for Instance Segmentation UAI 2026 Efficient Confidence Set Enumeration for Multi-label Conformal Classification UAI 2026 Inference for quantile-parametrized families via CDF confidence bands UAI 2026 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025 Computing High-dimensional Confidence Sets for Arbitrary Distributions COLT 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization AISTATS 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024 Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML 2024 On the Asymptotic Distribution of the Minimum Empirical Risk ICML 2024 Predictive Inference with Weak Supervision JMLR 2024 Principled Preferential Bayesian Optimization ICML 2024 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NeurIPS 2024 Asymptotic confidence sets for random linear programs COLT 2023 Bregman Deviations of Generic Exponential Families COLT 2023 Conformalization of Sparse Generalized Linear Models ICML 2023 Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022 Learning Optimal Conformal Classifiers ICLR 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Stable Conformal Prediction Sets ICML 2022