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← Optimization
Mathematics & Optimization
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Optimization
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Non-Convex Optimization
75 directly classified papers
Papers per year
2012: 1
2013: 2
2014: 3
2015: 5
2016: 8
2017: 5
2018: 11
2019: 13
2020: 4
2021: 3
2022: 9
2023: 4
2024: 5
2025: 2
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
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