← Optimization
Mathematics & Optimization › Optimization ›

Continuous Optimization

3907 directly classified papers

Papers per year

Papers

Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
On the Unstable Convergence Regime of Gradient Descent AAAI 2024
Optimal Transport with Cyclic Symmetry AAAI 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport JMLR 2024
Omnipredictors for regression and the approximate rank of convex functions COLT 2024
Physics-informed machine learning as a kernel method COLT 2024
The Price of Adaptivity in Stochastic Convex Optimization COLT 2024
Online Newton Method for Bandit Convex Optimisation Extended Abstract COLT 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees L4DC 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
Private Geometric Median NIPS 2024
Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NIPS 2024
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024
Data driven verification of positive invariant sets for discrete, nonlinear systems L4DC 2024
Quantum Theory and Application of Contextual Optimal Transport ICML 2024