conftrace_

unnormalized model

11 papers

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Co-occurring keywords · papers mentioning both

noise contrastive estimation (4) normalization constant (2) log-density gradient (2) score matching (2) asymptotic variance (2) bregman divergence (2) parameter estimation (2) density estimation (2) logistic regression (2) independent component analysis (2)

Papers

Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise UAI 2026 Near-Optimality of Contrastive Divergence Algorithms NeurIPS 2024 Robust Quickest Change Detection for Unnormalized Models UAI 2023 Slice Sampling Reparameterization Gradients NeurIPS 2021 A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling ICML 2020 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005