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Methodology
← Optimization
Mathematics & Optimization
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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
The Power of Uniform Sampling for k-Median
ICML 2023
On Coresets for Clustering in Small Dimensional Euclidean spaces
ICML 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
Editable Image Geometric Abstraction via Neural Primitive Assembly
ICCV 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
ICML 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
ICML 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
ICML 2023
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks
ICML 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster
ICML 2023
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
ICML 2023
Omnipredictors for Constrained Optimization
ICML 2023
Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning
IJCAI 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
AISTATS 2023
Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
ICCV 2023
Accelerated Stochastic Optimization Methods under Quasar-convexity
ICML 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
ICML 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
JMLR 2023
Chordal Averaging on Flag Manifolds and Its Applications
ICCV 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
ICML 2023
Randomized Primal-Dual Methods with Adaptive Step Sizes
AISTATS 2023
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
AISTATS 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph
AISTATS 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
AISTATS 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary
AISTATS 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
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