convex optimization

Variance-based Regularization with Convex Objectives NeurIPS 2017 Variational Policy for Guiding Point Processes ICML 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016 A Convex Model for Linguistic Influence in Group Conversations Interspeech 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016 Adaptive Averaging in Accelerated Descent Dynamics NeurIPS 2016 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 Agnostic Estimation for Misspecified Phase Retrieval Models NeurIPS 2016 Algorithms and matching lower bounds for approximately-convex optimization NeurIPS 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016 A Non-generative Framework and Convex Relaxations for Unsupervised Learning NeurIPS 2016 Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016 A scaled Bregman theorem with applications NeurIPS 2016 A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 (Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016 Black-box Optimization with a Politician ICML 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016 Convex Regression with Interpretable Sharp Partitions JMLR 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016