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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

Understanding spiking networks through convex optimization NIPS 2020
Agnostic Estimation for Phase Retrieval JMLR 2020
Provable Convex Co-clustering of Tensors JMLR 2020
Recovery of a Mixture of Gaussians by Sum-of-Norms Clustering JMLR 2020
Memoryless Sequences for General Losses JMLR 2020
Theory of Curriculum Learning, with Convex Loss Functions JMLR 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels JMLR 2020
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models AISTATS 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
Minimizing Discrete Total Curvature for Image Processing CVPR 2020
Improved Algorithms for Convex-Concave Minimax Optimization NIPS 2020
Learning with Fenchel-Young losses JMLR 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020
Transparency Promotion with Model-Agnostic Linear Competitors ICML 2020
Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020
Relative Interior Rule in Block-Coordinate Descent CVPR 2020