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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
Synthesizing Datalog Programs using Numerical Relaxation
IJCAI 2019
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract)
IJCAI 2019
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration
IJCAI 2019
Differentiable Game Mechanics
JMLR 2019
Adaptation Based on Generalized Discrepancy
JMLR 2019
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space
JMLR 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
JMLR 2019
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
JMLR 2019
Exact Clustering of Weighted Graphs via Semidefinite Programming
JMLR 2019
A New Approach to Laplacian Solvers and Flow Problems
JMLR 2019
Lazifying Conditional Gradient Algorithms
JMLR 2019
Learning to Match via Inverse Optimal Transport
JMLR 2019
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method
JMLR 2019
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search
JMLR 2019
Binarsity: a penalization for one-hot encoded features in linear supervised learning
JMLR 2019
Stochastic Variance-Reduced Cubic Regularization Methods
JMLR 2019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
JMLR 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks
JMLR 2019
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
JMLR 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
JMLR 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function
UAI 2019
Comparing EM with GD in Mixture Models of Two Components
UAI 2019
Randomized Iterative Algorithms for Fisher Discriminant Analysis
UAI 2019
A Fast Proximal Point Method for Computing Exact Wasserstein Distance
UAI 2019
Periodic Kernel Approximation by Index Set Fourier Series Features
UAI 2019
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