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
'5
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Papers (including subtopics)
An Axiomatic View of the Parimutuel Consensus Mechanism
IJCAI 2018
An efficient distributed learning algorithm based on effective local functional approximations
JMLR 2018
An Efficient Pruning Algorithm for Robust Isotonic Regression
NeurIPS 2018
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
ACML 2018
An Estimate Sequence for Geodesically Convex Optimization
COLT 2018
A New and Flexible Approach to the Analysis of Paired Comparison Data
JMLR 2018
An Exact Algorithm for Maximum k-Plexes in Massive Graphs
IJCAI 2018
An explicit analysis of the entropic penalty in linear programming
COLT 2018
An FPTAS for Computing Nash Equilibrium in Resource Graph Games
IJCAI 2018
An Information-Theoretic Analysis for Thompson Sampling with Many Actions
NeurIPS 2018
An Iterative, Sketching-based Framework for Ridge Regression
ICML 2018
An Optimal Learning Algorithm for Online Unconstrained Submodular Maximization
COLT 2018
An Optimization Approach to Learning Falling Rule Lists
AISTATS 2018
An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms
Interspeech 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks
PGM 2018
A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation
JMLR 2018
Anytime Focal Search with Applications
IJCAI 2018
Approximate message passing for amplitude based optimization
ICML 2018
Approximate Nearest Neighbors in Limited Space
COLT 2018
Approximate Ranking from Pairwise Comparisons
AISTATS 2018
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection
JMLR 2018
Approximating Fair Queueing on Reconfigurable Switches
NSDI 2018
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models
PGM 2018
Approximation algorithms for stochastic clustering
NeurIPS 2018
Approximation Guarantees for Adaptive Sampling
ICML 2018