conftrace_

Bayesian & Probabilistic

4,733 papers (2 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (2,617) Variational Inference (898) Gaussian Processes (666) Bayesian Learning (483) Markov Chain Monte Carlo (374) Bayesian Optimization (284) Nonparametric Bayesian (174) Bayesian Networks (149) Conditional Random Fields (39)

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Papers (including subtopics)

Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ICLR 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024 Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Dynamic Knowledge Injection for AIXI Agents AAAI 2024 Early-Exit Neural Networks with Nested Prediction Sets UAI 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024 Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives UAI 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024