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
'5
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'25
Papers (including subtopics)
Uniqueness of Belief Propagation on Signed Graphs
NeurIPS 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures
JMLR 2011
Universal low-rank matrix recovery from Pauli measurements
NeurIPS 2011
Variable Sparsity Kernel Learning
JMLR 2011
Variance Penalizing AdaBoost
NeurIPS 2011
Variance Reduction in Monte-Carlo Tree Search
NeurIPS 2011
Accounting for network effects in neuronal responses using L1 regularized point process models
NeurIPS 2010
Active Instance Sampling via Matrix Partition
NeurIPS 2010
A Dirty Model for Multi-task Learning
NeurIPS 2010
A Family of Penalty Functions for Structured Sparsity
NeurIPS 2010
A Fast Traversal Heuristic and Optimal Algorithm for Effective Environmental Coverage
RSS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
AISTATS 2010
Analysis of Multi-stage Convex Relaxation for Sparse Regularization
JMLR 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
NeurIPS 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control
NeurIPS 2010
An Exponential Model for Infinite Rankings
JMLR 2010
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
NeurIPS 2010
A novel family of non-parametric cumulative based divergences for point processes
NeurIPS 2010
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
AISTATS 2010
Approximate inference in continuous time Gaussian-Jump processes
NeurIPS 2010
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
JMLR 2010
Approximate parameter inference in a stochastic reaction-diffusion model
AISTATS 2010
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
AISTATS 2010
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
NeurIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
NeurIPS 2010