Continuous Optimization
4,424 papers
Papers per year
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39
46
78
150
173
157
189
225
261
393
371
395
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34
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Papers
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
AISTATS 2020
A novel variational form of the Schatten-p quasi-norm
NeurIPS 2020
Apprenticeship Learning via Frank-Wolfe
AAAI 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
NeurIPS 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
UAI 2020
apricot: Submodular selection for data summarization in Python
JMLR 2020
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
NeurIPS 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
NeurIPS 2020
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
NeurIPS 2020
A Sparse Resultant Based Method for Efficient Minimal Solvers
CVPR 2020
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems
JMLR 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
A Swiss Army Knife for Minimax Optimal Transport
ICML 2020
Asymptotic Risk of Bézier Simplex Fitting
AAAI 2020
A Three-Level Optimization Model for Nonlinearly Separable Clustering
AAAI 2020
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
ALT 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
AISTATS 2020
A Unified Framework for Structured Graph Learning via Spectral Constraints
JMLR 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties
CVPR 2020
Automated Spectral Kernel Learning
AAAI 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
NeurIPS 2020
Automatic Differentiation of Some First-Order Methods in Parametric Optimization
AISTATS 2020
Bandit optimisation of functions in the Matérn kernel RKHS
AISTATS 2020
Batchy: Batch-scheduling Data Flow Graphs with Service-level Objectives
NSDI 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
ICML 2020