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Non-Convex Optimization

75 directly classified papers

Papers per year

Papers

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025
Non-Convex Tensor Recovery from Local Measurements AAAI 2025
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023
Linear Regularizers Enforce the Strict Saddle Property AAAI 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points ICML 2023
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NIPS 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NIPS 2022
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NIPS 2022
Approximate Secular Equations for the Cubic Regularization Subproblem NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Single Loop Gaussian Homotopy Method for Non-convex Optimization NIPS 2022
Improved Imaging by Invex Regularizers with Global Optima Guarantees NIPS 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NIPS 2022
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
On the Second-order Convergence Properties of Random Search Methods NIPS 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NIPS 2021
Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020