Optimization
14,850 papers (55 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Continuous Optimization (4,424)
Stochastic Methods (2,991)
Combinatorial Optimization (2,615)
Online Algorithms (2,404)
Optimization (1,521)
Game Theory (1,046)
Convex Optimization (864)
Discrete Optimization (721)
Optimal Transport (474)
Sparse Optimization (416)
Optimal Control (271)
Global Optimization (200)
Non-Convex Optimization (182)
Distributed Learning (164)
Approximation Algorithms (162)
Multi-Objective Optimization (151)
Distributed Optimization (136)
Bayesian Optimization (132)
Theory (109)
Compressed Sensing (102)
Algorithms (89)
Robust Optimization (86)
Submodular Optimization (77)
Kernel Methods (75)
Evolutionary Algorithm (72)
Linear Programming (54)
Tensor Decomposition (48)
Bilevel Optimization (42)
Integer Programming (38)
Matrix Completion (33)
Algorithm (21)
Regularization (11)
Papers per year
1
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
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Papers (including subtopics)
Multi-Component Nonnegative Matrix Factorization
IJCAI 2017
Multi-Information Source Optimization
NeurIPS 2017
Multilevel Clustering via Wasserstein Means
ICML 2017
Multi-objective Bandits: Optimizing the Generalized Gini Index
ICML 2017
Multi-Objective Non-parametric Sequential Prediction
NeurIPS 2017
Multi-Observation Elicitation
COLT 2017
Multi-output Polynomial Networks and Factorization Machines
NeurIPS 2017
Multiscale Quantization for Fast Similarity Search
NeurIPS 2017
Multiscale Strategies for Computing Optimal Transport
JMLR 2017
Multi-View Decision Processes: The Helper-AI Problem
NeurIPS 2017
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification
CVPR 2017
Multiwinner Rules on Paths From k-Borda to Chamberlin–Courant
IJCAI 2017
Nash Equilibria in Concurrent Games with Lexicographic Preferences
IJCAI 2017
Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter
ICML 2017
Near-Feasible Stable Matchings with Budget Constraints
IJCAI 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
NeurIPS 2017
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
AISTATS 2017
Nearly Optimal Robust Matrix Completion
ICML 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration
COLT 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
NeurIPS 2017
Near-Optimal Design of Experiments via Regret Minimization
ICML 2017
Near Optimal Sketching of Low-Rank Tensor Regression
NeurIPS 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
NeurIPS 2017
Networked Fairness in Cake Cutting
IJCAI 2017
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
EMNLP 2017