Bayesian Inference
6,267 papers
Papers per year
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11
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64
104
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Papers
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
ICML 2023
Thompson Sampling with Diffusion Generative Prior
ICML 2023
Thompson Sampling with Less Exploration is Fast and Optimal
ICML 2023
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo
AISTATS 2023
Toward Robust Uncertainty Estimation with Random Activation Functions
AAAI 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
ICML 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
AISTATS 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
CoRL 2023
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
ICML 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
CVPR 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy
ACML 2023
Transport Elliptical Slice Sampling
AISTATS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing
JMLR 2023
Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models
EACL 2023
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion
AAAI 2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
CoRL 2023
Two-stage Kernel Bayesian Optimization in High Dimensions
UAI 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval
ICCV 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
CVPR 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
NeurIPS 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC
JMLR 2023
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
ICML 2023