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← 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
An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact
RSS 2007
Convex Clustering with Exemplar-Based Models
NIPS 2007
Multi-Task Learning via Conic Programming
NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine
NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
NIPS 2007
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
JMLR 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
JMLR 2006
Convex Repeated Games and Fenchel Duality
NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming
NIPS 2006
Multi-loop Position Analysis via Iterated Linear Programming
RSS 2006
Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints
RSS 2006
Building Support Vector Machines with Reduced Classifier Complexity
JMLR 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
JMLR 2006
The Robustness-Performance Tradeoff in Markov Decision Processes
NIPS 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
JMLR 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems
JMLR 2006
Simplifying Mixture Models through Function Approximation
NIPS 2006
A recipe for optimizing a time-histogram
NIPS 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
JMLR 2006
Adaptive Dynamics with Efficient Contact Handling for Articulated Robots
RSS 2006
Learning from Examples as an Inverse Problem
JMLR 2005
Learning the Kernel with Hyperkernels
JMLR 2005
Core Vector Machines: Fast SVM Training on Very Large Data Sets
JMLR 2005
Smooth ε-Insensitive Regression by Loss Symmetrization
JMLR 2005
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