conftrace_

mixture model

262 papers

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Co-occurring keywords

bayesian inference (1907) dirichlet process (132) variational inference (2069) bayesian nonparametrics (270) expectation maximization (255) parameter estimation (274) unsupervised learning (3264) latent variable model (564) markov chain monte carlo (725) probabilistic modeling (852)

Papers

Fair Model-based Clustering AAAI 2026
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026
Mixture of Small and Large Models for Chinese Spelling Check ACL 2025
3D Student Splatting and Scooping CVPR 2025
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NIPS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Contamination-source based K-sample clustering JMLR 2024
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction AAAI 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NIPS 2024
Probabilistic Neural Circuits AAAI 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations INTERSPEECH 2024
Identification of mixtures of discrete product distributions in near-optimal sample and time complexity COLT 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NIPS 2024
Manifold Learning by Mixture Models of VAEs for Inverse Problems JMLR 2024
Non-Euclidean Mixture Model for Social Network Embedding NIPS 2024
Big Learning Expectation Maximization AAAI 2024
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models NIPS 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023
Regularized Joint Mixture Models JMLR 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models ICML 2023
Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora EACL 2023