Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
8
13
8
24
100
100
125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
ICML 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences
JMLR 2017
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources
IJCAI 2017
Stepsize Control for Acoustic Feedback Cancellation Based on the Detection of Reverberant Signal Periods and the Estimated System Distance
Interspeech 2017
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
CVPR 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
ICML 2017
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
ICML 2017
Stochastic and Adversarial Online Learning without Hyperparameters
NeurIPS 2017
Stochastic Approximation for Canonical Correlation Analysis
NeurIPS 2017
Stochastic Bouncy Particle Sampler
ICML 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$
COLT 2017
Stochastic Constraint Programming
IJCAI 2017
Stochastic Constraint Programming with And-Or Branch-and-Bound
IJCAI 2017
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
ICML 2017
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
ICML 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
AISTATS 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
NeurIPS 2017
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms
ICML 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
NeurIPS 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
JMLR 2017
Stochastic Submodular Maximization: The Case of Coverage Functions
NeurIPS 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding
NeurIPS 2017
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
NeurIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NeurIPS 2017
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
ICML 2017