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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

One-sided Frank-Wolfe algorithms for saddle problems ICML 2021
A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NIPS 2021
Information-constrained optimization: can adaptive processing of gradients help? NIPS 2021
R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina ICCV 2021
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems NIPS 2021
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles AAAI 2021
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning NIPS 2021
Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021
Optimized Score Transformation for Consistent Fair Classification JMLR 2021
Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021
Linear Bandits on Uniformly Convex Sets JMLR 2021
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021
Online A-Optimal Design and Active Linear Regression ICML 2021
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021
Learning With Subquadratic Regularization : A Primal-Dual Approach IJCAI 2020
Comparator-Adaptive Convex Bandits NIPS 2020
Linearly Converging Error Compensated SGD NIPS 2020
Positive Unlabeled Learning with Class-prior Approximation IJCAI 2020
Provable Overlapping Community Detection in Weighted Graphs NIPS 2020
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization NIPS 2020
Sharp Asymptotics and Optimal Performance for Inference in Binary Models AISTATS 2020
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models AISTATS 2020