exponential families

A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation ICML 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022 Sparse Continuous Distributions and Fenchel-Young Losses JMLR 2022 Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021 Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Mixed Graphical Models via Exponential Families AISTATS 2014 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Exponential Family Graph Matching and Ranking NeurIPS 2009