Continuous Optimization
4,424 papers
Papers per year
1
2
2
7
16
23
29
27
39
46
78
150
173
157
189
225
261
393
371
395
418
423
545
420
34
'5
'10
'15
'20
'25
Papers
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
NeurIPS 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
AAAI 2021
Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization
WACV 2021
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
NeurIPS 2021
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps
CVPR 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
ICML 2021
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
AISTATS 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
ICML 2021
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
NeurIPS 2021
Federated Composite Optimization
ICML 2021
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation
AISTATS 2021
Few-Shot Data-Driven Algorithms for Low Rank Approximation
NeurIPS 2021
Field of Junctions: Extracting Boundary Structure at Low SNR
ICCV 2021
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games
AAAI 2021
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
AISTATS 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
AISTATS 2021
Frank-Wolfe with a Nearest Extreme Point Oracle
COLT 2021
From Low Probability to High Confidence in Stochastic Convex Optimization
JMLR 2021
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion
AAAI 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
AISTATS 2021
Generalized Shuffled Linear Regression
ICCV 2021
Generalized Spectral Clustering via Gromov-Wasserstein Learning
AISTATS 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
NeurIPS 2021