Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
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'10
'15
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Papers (including subtopics)
Gradient-based Hyperparameter Optimization through Reversible Learning
ICML 2015
Gradient Estimation Using Stochastic Computation Graphs
NeurIPS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
NeurIPS 2015
Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables
CVPR 2015
Graphical Models via Univariate Exponential Family Distributions
JMLR 2015
Guidance and Navigation for UAV Airborne Docking
RSS 2015
Handling Motion Blur in Multi-Frame Super-Resolution
CVPR 2015
Hashing for Distributed Data
ICML 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
NeurIPS 2015
Hidden Markov Anomaly Detection
ICML 2015
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling
ICCV 2015
Hierarchically-Constrained Optical Flow
CVPR 2015
Hierarchies of Relaxations for Online Prediction Problems with Evolving Constraints
COLT 2015
High Confidence Policy Improvement
ICML 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models
ICML 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
NeurIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems
NeurIPS 2015
Higher-Order Inference for Multi-Class Log-Supermodular Models
ICCV 2015
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent
RSS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems
NeurIPS 2015
How Hard is Inference for Structured Prediction?
ICML 2015
Human Pose Estimation in Videos
ICCV 2015
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior
ICCV 2015
Image Segmentation in Twenty Questions
CVPR 2015
Implementable confidence sets in high dimensional regression
AISTATS 2015