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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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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
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
JMLR 2023
Sensitivity-Free Gradient Descent Algorithms
JMLR 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster
ICML 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets
AISTATS 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm
AISTATS 2023
Simplex Random Features
ICML 2023
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
AISTATS 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover
AISTATS 2023
Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features
RSS 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization
AISTATS 2023
Discrete Variational Calculus for Accelerated Optimization
JMLR 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
ICML 2023
Efficient displacement convex optimization with particle gradient descent
ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
ICML 2023
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
ICML 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
ICML 2023
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots
RSS 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
ICML 2023
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
RSS 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems
JMLR 2023
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023
G*: A New Approach to Bounding Curvature Constrained Shortest Paths through Dubins Gates
RSS 2023
Progressively Optimized Local Radiance Fields for Robust View Synthesis
CVPR 2023
Optimal Shrinkage for Distributed Second-Order Optimization
ICML 2023
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