prior distribution

Flow Map Distillation Without Data CVPR 2026 ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax ICLR 2025 Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025 Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025 Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities ICLR 2024 HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024 Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments ICLR 2024 Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024 RMIB: Representation Matching Information Bottleneck for Matching Text Representations ICML 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 Bayesian inference for vertex-series-parallel partial orders UAI 2023 Coupled Variational Autoencoder ICML 2023 Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023 Minimax-Bayes Reinforcement Learning AISTATS 2023 Refined Mechanism Design for Approximately Structured Priors via Active Regression NeurIPS 2023 Thompson Sampling with Diffusion Generative Prior ICML 2023 Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR Interspeech 2022 Bayesian Neural Network Priors Revisited ICLR 2022 Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits NeurIPS 2022