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https://openreview.net/forum?id=sLkj91HIZU&referrer=%5Bthe%20profile%20of%20Rajat%20Sen%5D(%2Fprofile%3Fid%3D~Rajat_Sen1) Transformers can optimally learn regression mixture models | OpenReview Mixture models arise in many regression problems, but most methods have seen limited adoption partly due to these algorithms' highly-tailored and... mixture models transformers optimally learn regression https://www.econstor.eu/handle/10419/189368 EconStor: Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. finite mixture models econstor nonparametric identification estimation https://deepai.org/publication/finite-mixture-models-are-typically-inconsistent-for-the-number-of-components Finite mixture models are typically inconsistent for the number of components | DeepAI Jul 8, 2020 - 07/08/20 - Scientists and engineers are often interested in learning the number of subpopulations (or components) present in a data set. Prac... finite mixture models https://aclanthology.org/W10-2809/ Active Learning for Constrained Dirichlet Process Mixture Models - ACL Anthology Andreas Vlachos, Zoubin Ghahramani, Ted Briscoe. Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics. 2010. active learning dirichlet process mixture models constrained acl https://arxiv.org/abs/1112.2059 [1112.2059] Randomised Mixture Models for Pricing Kernels Abstract page for arXiv paper 1112.2059: Randomised Mixture Models for Pricing Kernels mixture models 1112 2059 randomised pricing https://openreview.net/forum?id=xIHi5nxu9P Subtractive Mixture Models via Squaring: Representation and Learning | OpenReview Mixture models are traditionally represented and learned by adding several distributions as components. Allowing mixtures to subtract probability mass or... mixture models via squaring representation learning https://www.wolfram.com/mathematica/new-in-8/parameter-estimation-and-testing/decompose-mixture-models-of-earthquake-magnitudes.html Decompose Mixture Models of Earthquake Magnitudes: New in Mathematica 8 mixture models new in decompose earthquake magnitudes https://github.com/tonymugen/MuGaMix GitHub - tonymugen/MuGaMix: Multitrait Gaussian mixture models for phenotype-based grouping of... Multitrait Gaussian mixture models for phenotype-based grouping of individuals - tonymugen/MuGaMix gaussian mixture models https://www.mathworks.com/help/vision/ref/vision.foregrounddetector-system-object.html vision.ForegroundDetector - Foreground detection using Gaussian mixture models - MATLAB The ForegroundDetector compares a color or grayscale video frame to a background model to determine whether individual pixels are part of the background or the... gaussian mixture models foreground detection vision using matlab https://aclanthology.org/W14-3363/ Linear Mixture Models for Robust Machine Translation - ACL Anthology Marine Carpuat, Cyril Goutte, George Foster. Proceedings of the Ninth Workshop on Statistical Machine Translation. 2014. mixture models machine translation linear robust acl https://www.mathworks.com/help/stats/gaussian-mixture-models.html Gaussian Mixture Models - MATLAB & Simulink Cluster based on Gaussian mixture models using the Expectation-Maximization algorithm gaussian mixture models matlab simulink https://www.proquest.com/docview/304626205 New development of Bayesian mixture models for survival and survey data - ProQuest Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform. new development mixture models https://www.slideserve.com/claudiab/bayesian-learning-amp-gaussian-mixture-models-powerpoint-ppt-presentation PPT - Bayesian Learning & Gaussian Mixture Models Overview PowerPoint Presentation - ID:9581408 Understand Bayesian classification and GMM for structured classification, handwriting recognition, and spam filtering. Learn about the importance of prior... gaussian mixture models bayesian learning powerpoint presentation ppt https://ideas.repec.org/p/ecb/ecbwps/2007831.html Hierarchical Markov normal mixture models with applications to financial asset returns Downloadable! With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components... mixture models financial asset hierarchical markov normal https://openreview.net/forum?id=rdSVgnLHQB Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models | OpenReview Diffusion probabilistic models have achieved remarkable success in generative tasks across diverse data types. While recent studies have explored alternative... mixture models warm diffusion recipe blur https://www.rti.org/publication/bayesian-finite-mixture-models-markov-chain-convergence Bayesian Finite Mixture Models and Markov Chain Convergence | RTI finite mixture models markov chain bayesian convergence rti https://openreview.net/forum?id=6OT73DA0dF Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models |... Scaling the capacity of language models has consistently proven to be a re- liable approach for improving performance and unlocking new capabilities. Capacity... https://www.ets.org/research/policy_research_reports/publications/chapter/2007/illp.html Preface to Multivariate and Mixture Distribution Rasch Models mixture distribution preface multivariate rasch models https://arxiv.org/abs/1509.07344 [1509.07344] Opinion mining from twitter data using evolutionary multinomial mixture models Abstract page for arXiv paper 1509.07344: Opinion mining from twitter data using evolutionary multinomial mixture models opinion mining https://aclanthology.org/2025.emnlp-main.250/ Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with... Yao Chen, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025. https://openreview.net/forum?id=zdbPZOT867 Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity | OpenReview State Space Models (SSMs) have emerged as efficient alternatives to Transformers for sequential modeling, but their inability to leverage modality-specific... https://arxiv.org/abs/1506.07677 [1506.07677] Manifold Optimization for Gaussian Mixture Models Abstract page for arXiv paper 1506.07677: Manifold Optimization for Gaussian Mixture Models 1506 07677 manifold optimization gaussian https://www.econstor.eu/handle/10419/189745 EconStor: Global estimation of finite mixture and misclassification models with an application to... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://arxiv.org/abs/2602.04448 [2602.04448] RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models Abstract page for arXiv paper 2602.04448: RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models mixture of experts https://arxiv.org/abs/2502.15828 [2502.15828] A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models Abstract page for arXiv paper 2502.15828: A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models