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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

Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning NIPS 2020
An efficient nonconvex reformulation of stagewise convex optimization problems NIPS 2020
Dual Instrumental Variable Regression NIPS 2020
One Sample Stochastic Frank-Wolfe AISTATS 2020
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NIPS 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020
Is Local SGD Better than Minibatch SGD? ICML 2020
Dynamic Regret of Convex and Smooth Functions NIPS 2020
The Strong Screening Rule for SLOPE NIPS 2020
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NIPS 2020
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NIPS 2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks NIPS 2020
Improved Algorithms for Convex-Concave Minimax Optimization NIPS 2020
A Catalyst Framework for Minimax Optimization NIPS 2020
Importance Sampling via Local Sensitivity AISTATS 2020
The Wasserstein Proximal Gradient Algorithm NIPS 2020
Delay-Adaptive Distributed Stochastic Optimization AAAI 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling AISTATS 2020
Understanding spiking networks through convex optimization NIPS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020
Stochastic Subspace Cubic Newton Method ICML 2020
Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020