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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
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
CVPR 2020
Quasi-Newton Solver for Robust Non-Rigid Registration
CVPR 2020
A Nonconvex Projection Method for Robust PCA
AAAI 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
AAAI 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
NIPS 2019
Efficient Algorithms for Smooth Minimax Optimization
NIPS 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NIPS 2019
Efficiently avoiding saddle points with zero order methods: No gradients required
NIPS 2019
Globally Optimal Learning for Structured Elliptical Losses
NIPS 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
NIPS 2019
Learning Positive Functions with Pseudo Mirror Descent
NIPS 2019
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
NIPS 2019
Efficiently escaping saddle points on manifolds
NIPS 2019
Nonconvex Low-Rank Tensor Completion from Noisy Data
NIPS 2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
NIPS 2019
Scalable Robust Matrix Factorization with Nonconvex Loss
NIPS 2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
NIPS 2018
An Efficient Pruning Algorithm for Robust Isotonic Regression
NIPS 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
NIPS 2018
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
NIPS 2018
NEON2: Finding Local Minima via First-Order Oracles
NIPS 2018
On the Local Minima of the Empirical Risk
NIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NIPS 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
NIPS 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective
CVPR 2018
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