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)
New bounds on the price of bandit feedback for mistake-bounded online multiclass learning
ALT 2017
New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract)
IJCAI 2017
New Metrics and Algorithms for Stochastic Goal Recognition Design Problems
IJCAI 2017
Newton-Type Methods for Inference in Higher-Order Markov Random Fields
CVPR 2017
Noise-Blind Image Deblurring
CVPR 2017
Noise Robust Depth From Focus Using a Ring Difference Filter
CVPR 2017
Nonbacktracking Bounds on the Influence in Independent Cascade Models
NeurIPS 2017
Non-Contact Full Field Vibration Measurement Based on Phase-Shifting
CVPR 2017
Non-convex Finite-Sum Optimization Via SCSG Methods
NeurIPS 2017
Nonlinear Acceleration of Stochastic Algorithms
NeurIPS 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming
IJCAI 2017
Nonparametric Online Regression while Learning the Metric
NeurIPS 2017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
AISTATS 2017
No Time to Observe: Adaptive Influence Maximization with Partial Feedback
IJCAI 2017
Object Allocation via Swaps along a Social Network
IJCAI 2017
On Approximation Guarantees for Greedy Low Rank Optimization
ICML 2017
On Blackbox Backpropagation and Jacobian Sensing
NeurIPS 2017
On Compressing Deep Models by Low Rank and Sparse Decomposition
CVPR 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
JMLR 2017
On Computing World Views of Epistemic Logic Programs
IJCAI 2017
On Creating Complementary Pattern Databases
IJCAI 2017
One-Sided Unsupervised Domain Mapping
NeurIPS 2017
On Frank-Wolfe and Equilibrium Computation
NeurIPS 2017
On Kernelized Multi-armed Bandits
ICML 2017
Online Algorithm Selection
IJCAI 2017