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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'25
Papers (including subtopics)
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
ICML 2018
On the Usefulness of the Speech Phase Spectrum for Pitch Extraction
Interspeech 2018
On Tight Bounds for the Lasso
JMLR 2018
On Truly Block Eigensolvers via Riemannian Optimization
AISTATS 2018
Open Loop Execution of Tree-Search Algorithms
IJCAI 2018
Opinion Diffusion and Campaigning on Society Graphs
IJCAI 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
NeurIPS 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
NeurIPS 2018
Optimal Bidding Strategy for Brand Advertising
IJCAI 2018
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
IJCAI 2018
Optimal Quantum Sample Complexity of Learning Algorithms
JMLR 2018
Optimal Single Sample Tests for Structured versus Unstructured Network Data
COLT 2018
Optimal Solution of the Generalized Dubins Interval Problem
RSS 2018
Optimal Structured Light à La Carte
CVPR 2018
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
ICML 2018
Optimistic optimization of a Brownian
NeurIPS 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization
ICML 2018
Optimization for Approximate Submodularity
NeurIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NeurIPS 2018
Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder
NAACL 2018
Orchestrating a Network of Mereotopological Theories: An Abridged Report
IJCAI 2018
Out-of-sample extension of graph adjacency spectral embedding
ICML 2018
Parallel and Streaming Algorithms for K-Core Decomposition
ICML 2018
Parallelised Bayesian Optimisation via Thompson Sampling
AISTATS 2018
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
JMLR 2018