← Optimization
Mathematics & Optimization › Optimization ›

Optimization

1203 directly classified papers

Papers per year

Papers

Gradient Guidance for Diffusion Models: An Optimization Perspective NIPS 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Optimal Transport with Tempered Exponential Measures AAAI 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation AAAI 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
Efficient Dataset Distillation via Minimax Diffusion CVPR 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024
Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024
Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion CVPR 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction CVPR 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024