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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

Structured Prediction with Projection Oracles NIPS 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NIPS 2019
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NIPS 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NIPS 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Blended Conditonal Gradients ICML 2019
A Dynamical Systems Perspective on Nesterov Acceleration ICML 2019
A near-optimal algorithm for approximating the John Ellipsoid COLT 2019
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NIPS 2019
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map CVPR 2019
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory COLT 2019
Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization COLT 2019
Near-optimal method for highly smooth convex optimization COLT 2019
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD ICML 2019
Learning Logistic Circuits AAAI 2019
Partial Label Learning with Self-Guided Retraining AAAI 2019
Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NIPS 2019
Generalized Maximum Entropy Estimation JMLR 2019