conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

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273

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Papers (including subtopics)

A General Framework for the Analysis of Kernel-based Tests JMLR 2024 A Generalized Bayesian Approach to Distribution-on-Distribution Regression UAI 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models EACL 2024 All-in-one simulation-based inference ICML 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 Amortized Variational Inference: When and Why? UAI 2024 Amortizing intractable inference in large language models ICLR 2024 An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference PGM 2024 An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation ICML 2024 A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 An Information Theoretic Approach to Interaction-Grounded Learning ICML 2024 A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis AAAI 2024 A Persuasive Approach to Combating Misinformation ICML 2024 Approximate Bayesian Computation with Path Signatures UAI 2024 Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 ARM: Alignment with Residual Energy-Based Model NAACL 2024 Arrows of Time for Large Language Models ICML 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks ICLR 2024 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ICLR 2024