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-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance
CVPR 2021
Multiwavelet-based Operator Learning for Differential Equations
NeurIPS 2021
NAS-Bench-x11 and the Power of Learning Curves
NeurIPS 2021
NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers
NAACL 2021
Nearest neighbor search under uncertainty
UAI 2021
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
AAAI 2021
Near-Optimal Algorithms for Explainable k-Medians and k-Means
ICML 2021
Near-Optimal Confidence Sequences for Bounded Random Variables
ICML 2021
Near-Optimal Data Source Selection for Bayesian Learning
L4DC 2021
Near Optimal Distributed Learning of Halfspaces with Two Parties
COLT 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
ICML 2021
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices
COLT 2021
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
NeurIPS 2021
Near-Optimal MNL Bandits Under Risk Criteria
AAAI 2021
Necessarily Optimal One-Sided Matchings
AAAI 2021
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions
AAAI 2021
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
NeurIPS 2021
Network Inference and Influence Maximization from Samples
ICML 2021
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
ICLR 2021
Neural Lyapunov Redesign
L4DC 2021
Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks
CVPR 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence
WACV 2021
Never Go Full Batch (in Stochastic Convex Optimization)
NeurIPS 2021
New Algorithms for Japanese Residency Matching
IJCAI 2021
New Length Dependent Algorithm for Maximum Satisfiability Problem
AAAI 2021