| Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings | Oct 30, 2024 | Question AnsweringUncertainty Quantification | —Unverified | 0 | 0 |
| Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games | Feb 13, 2025 | Multi-agent Reinforcement LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework | Jun 16, 2024 | Explainable artificial intelligencePrediction | —Unverified | 0 | 0 |
| Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures | Oct 13, 2024 | Conformal PredictionPrediction | —Unverified | 0 | 0 |
| Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks | Apr 9, 2020 | Load ForecastingTime Series | —Unverified | 0 | 0 |
| Inference and Uncertainty Quantification for Noisy Matrix Completion | Jun 10, 2019 | Matrix CompletionUncertainty Quantification | —Unverified | 0 | 0 |
| Inference for Large Scale Regression Models with Dependent Errors | Sep 8, 2024 | Gaussian Processesparameter estimation | —Unverified | 0 | 0 |
| Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise | Jan 14, 2020 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models | Jan 28, 2023 | Assortment OptimizationChange Point Detection | —Unverified | 0 | 0 |
| Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models | Aug 29, 2023 | Uncertainty Quantification | —Unverified | 0 | 0 |
