conftrace_

coordinate ascent

10 papers

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Co-occurring keywords · papers mentioning both

variational inference (3) feature selection (2) bayesian inference (2) ensemble classification (1) subset selection (1) stochastic block model (1) classification error (1) stochastic variational inference (1) 0-1 loss (1) 0-1 loss minimization (1)

Papers

Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 On Variational Inference in Biclustering Models ICML 2021 Sparse Bayesian Learning via Stepwise Regression ICML 2021 Continuous Submodular Maximization: Beyond DR-Submodularity NeurIPS 2020 Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010