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convex optimization

1320 papers

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CO

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