Continuous Optimization

Optimization Algorithm Design via Electric Circuits NeurIPS 2024 Optimization without Retraction on the Random Generalized Stiefel Manifold ICML 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NeurIPS 2024 Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NeurIPS 2024 Outlier-robust Kalman Filtering through Generalised Bayes ICML 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024 Parallel Affine Transformation Tuning of Markov Chain Monte Carlo ICML 2024 Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024 Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024 Parameter-free Clipped Gradient Descent Meets Polyak NeurIPS 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning IJCAI 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive design ICML 2024 Path-Guided Particle-based Sampling ICML 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models CVPR 2024 Physics-informed machine learning as a kernel method COLT 2024