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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
Robust Market Equilibria with Uncertain Preferences AAAI 2020
The Strong Screening Rule for SLOPE NIPS 2020
Optimistic robust linear quadratic dual control L4DC 2020
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020
Tchebycheff Procedure for Multi-task Text Classification ACL 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020
Dual Instrumental Variable Regression NIPS 2020
Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning NIPS 2020
Importance Sampling via Local Sensitivity AISTATS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NIPS 2020
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020
The Wasserstein Proximal Gradient Algorithm NIPS 2020
Stochastic Optimization with Laggard Data Pipelines NIPS 2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks NIPS 2020
Proximity Operator of the Matrix Perspective Function and its Applications NIPS 2020
Generalization Bounds in the Predict-then-Optimize Framework NIPS 2019
RSN: Randomized Subspace Newton NIPS 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
A Generic Acceleration Framework for Stochastic Composite Optimization NIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019
Projection Free Online Learning over Smooth Sets AISTATS 2019