Mathematics
6,356 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
6
3
11
43
40
56
47
63
82
130
204
219
256
250
325
374
489
556
620
576
651
697
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144
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Papers (including subtopics)
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
JMLR 2018
Completing State Representations using Spectral Learning
NeurIPS 2018
Complexity of n-Queens Completion (Extended Abstract)
IJCAI 2018
Compressing Neural Networks using the Variational Information Bottleneck
ICML 2018
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games
IJCAI 2018
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm
ICML 2018
Computing Kantorovich-Wasserstein Distances on d-dimensional histograms using (d+1)-partite graphs
NeurIPS 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information
AISTATS 2018
Conflict Directed Clause Learning for Maximum Weighted Clique Problem
IJCAI 2018
Constant Regret, Generalized Mixability, and Mirror Descent
NeurIPS 2018
Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract)
IJCAI 2018
Constrained Interacting Submodular Groupings
ICML 2018
Contextual Pricing for Lipschitz Buyers
NeurIPS 2018
Contextual Stochastic Block Models
NeurIPS 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective
CVPR 2018
Contour location via entropy reduction leveraging multiple information sources
NeurIPS 2018
Convergence Analysis of Gradient Descent for Eigenvector Computation
IJCAI 2018
Convolutional Imputation of Matrix Networks
ICML 2018
Counting Motifs with Graph Sampling
COLT 2018
Curve Reconstruction via the Global Statistics of Natural Curves
CVPR 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning
NeurIPS 2018
Data Amplification: A Unified and Competitive Approach to Property Estimation
NeurIPS 2018
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects
EMNLP 2018
Deep Learning of Graph Matching
CVPR 2018
Derivative Estimation in Random Design
NeurIPS 2018