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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NIPS 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models NIPS 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023
Sample Complexity of Forecast Aggregation NIPS 2023
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NIPS 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection CVPR 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AUTOML 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection AUTOML 2023
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation L4DC 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL 2023
Constructing a Credible Estimation for Overreporting of Climate Adaptation Funds in the Creditor Reporting System EACL 2023
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CORL 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles CORL 2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization CORL 2023
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling CORL 2023
Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification EMNLP 2023
Optimal Preconditioning and Fisher Adaptive Langevin Sampling NIPS 2023
Bayesian Optimisation of Functions on Graphs NIPS 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning CORL 2023
Poisson Process for Bayesian Optimization AUTOML 2023
On the Robustness of Mechanism Design under Total Variation Distance NIPS 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces NIPS 2023
Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023