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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

Conditional Gradients for the Approximately Vanishing Ideal AISTATS 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images ICML 2022
CoNSoLe: Convex Neural Symbolic Learning NIPS 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits NIPS 2022
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NIPS 2022
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints L4DC 2022
Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022
Agnostic Learnability of Halfspaces via Logistic Loss ICML 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NIPS 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022
Steering vector correction in MVDR beamformer for speech enhancement INTERSPEECH 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Making SGD Parameter-Free COLT 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NIPS 2022
Efficient Convex Optimization Requires Superlinear Memory COLT 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NIPS 2022