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

Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024

skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024

Learning with Fitzpatrick Losses NIPS 2024

Nesterov acceleration despite very noisy gradients NIPS 2024

Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024

Certified Machine Unlearning via Noisy Stochastic Gradient Descent NIPS 2024

Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024

Optimization Algorithm Design via Electric Circuits NIPS 2024

Optimal Classification under Performative Distribution Shift NIPS 2024

Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NIPS 2024

The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024

Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NIPS 2024

Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023

Predictive Multiplicity in Probabilistic Classification AAAI 2023

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023

A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023

Inference for probabilistic dependency graphs UAI 2023

Real-Time Detection of Robotic Traffic in Online Advertising AAAI 2023

A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023

Polynomial Preconditioning for Gradient Methods ICML 2023

Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract) IJCAI 2023

Exact Inference in High-order Structured Prediction ICML 2023