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

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025

Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025

Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025

Extremal graphical modeling with latent variables via convex optimization JMLR 2025

Rank-one Convexification for Sparse Regression JMLR 2025

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts ICCV 2025

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025

Approximating Metric Magnitude of Point Sets AAAI 2025

FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025

Building Rome with Convex Optimization RSS 2025

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025

Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025

Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025

When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation ICCV 2025

Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024

Variational Gaussian Process Diffusion Processes AISTATS 2024

Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024

Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024

skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024

Optimal Transport with Cyclic Symmetry AAAI 2024

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

A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024