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Optimization

1184 directly classified papers

Papers per year

Papers

Learning Reduced Fluid Dynamics AAAI 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Multi-Head Mixture-of-Experts NIPS 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization AAAI 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024
Spiking Denoising Diffusion Probabilistic Models WACV 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024
Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning CVPR 2024
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024
Understanding Entropic Regularization in GANs JMLR 2024
Molecular Optimization Model with Patentability Constraint AAAI 2024
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization AAAI 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024
Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
Weighted Envy-Freeness for Submodular Valuations AAAI 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024