Bayesian Inference
6,267 papers
Papers per year
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104
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Papers
Conformal Prediction Sets Improve Human Decision Making
ICML 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ICLR 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
NeurIPS 2024
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
AAAI 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
ICML 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo
NeurIPS 2024
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
NeurIPS 2024
Continual learning with the neural tangent ensemble
NeurIPS 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog
COLING 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
NeurIPS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
NeurIPS 2024
Convolutional Deep Kernel Machines
ICLR 2024
Copula Conformal prediction for multi-step time series prediction
ICLR 2024
Coreset Markov chain Monte Carlo
AISTATS 2024
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
NeurIPS 2024
Credal Deep Ensembles for Uncertainty Quantification
NeurIPS 2024
Critical feature learning in deep neural networks
ICML 2024
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
NeurIPS 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization
AISTATS 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
AISTATS 2024
Data Poisoning Attacks against Conformal Prediction
ICML 2024
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
COLING 2024
Debiased Distribution Compression
ICML 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
ICML 2024