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Methodology
← Optimization
Mathematics & Optimization
›
Optimization
›
Continuous Optimization
3907 directly classified papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
TRF: Learning Kernels with Tuned Random Features
AAAI 2022
Sublinear Time Approximation of Text Similarity Matrices
AAAI 2022
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
NIPS 2022
Order Constraints in Optimal Transport
ICML 2022
Personalized Online Federated Learning with Multiple Kernels
NIPS 2022
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
ICML 2022
Coordinate Linear Variance Reduction for Generalized Linear Programming
NIPS 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
NIPS 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
NIPS 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
NIPS 2022
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
NIPS 2022
Data-Driven Conditional Robust Optimization
NIPS 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
Closed-Form Diffeomorphic Transformations for Time Series Alignment
ICML 2022
Bregman Power k-Means for Clustering Exponential Family Data
ICML 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
ICML 2022
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
ICML 2022
Tensor Wheel Decomposition and Its Tensor Completion Application
NIPS 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
NIPS 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
NIPS 2022
Convexity Certificates from Hessians
NIPS 2022
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract)
IJCAI 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
NIPS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
NIPS 2022
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
NIPS 2022
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