conftrace_

conditional probability

43 papers

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Co-occurring keywords

bayesian network (378) probabilistic modeling (852) support vector machine (978) neural network (6616) structure learning (341) domain adaptation (4595) causal inference (1630) conditional distribution (64) probabilistic model (476) graphical model (864)

Papers

Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models EACL 2026
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator CVPR 2025
A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Why think step by step? Reasoning emerges from the locality of experience NIPS 2023
Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals UAI 2023
Logical Credal Networks NIPS 2022
Training on the Test Set: Mapping the System-Problem Space in AI AAAI 2022
A Discriminative Technique for Multiple-Source Adaptation ICML 2021
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task EMNLP 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks NIPS 2020
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization EMNLP 2020
Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020
Deep Recurrent Survival Analysis AAAI 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Foreign-Language Knowledge Enhances Artificial-Language Segmentation INTERSPEECH 2019
Quantifying Similarity between Relations with Fact Distribution ACL 2019
Learning Features from Co-occurrences: A Theoretical Analysis COLING 2018
Naive Bayesian Classifiers with Extreme Probability Features PGM 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NIPS 2018
Consistent Estimation given Missing Data PGM 2018
LHD: Improving Cache Hit Rate by Maximizing Hit Density NSDI 2018
A Compositional Bayesian Semantics for Natural Language COLING 2018