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)
Nested Bandits
ICML 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
ICML 2022
Network change point localisation under local differential privacy
NeurIPS 2022
Neur2SP: Neural Two-Stage Stochastic Programming
NeurIPS 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
NeurIPS 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
NeurIPS 2022
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
ICLR 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
NeurIPS 2022
Neural Piecewise-Constant Delay Differential Equations
AAAI 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
NeurIPS 2022
Neural Stochastic Dual Dynamic Programming
ICLR 2022
NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
NeurIPS 2022
New Coresets for Projective Clustering and Applications
AISTATS 2022
New Insights for the Multivariate Square-Root Lasso
JMLR 2022
New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees
COLT 2022
Noise Robust Core-stable Coalitions of Hedonic
Games
ACML 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data
UAI 2022
Noisy Riemannian Gradient Descent for Eigenvalue
Computation with Application to Inexact Stochastic
Recursive Gradient Algorithm
ACML 2022
Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
JMLR 2022
Non-Convex Bilevel Games with Critical Point Selection Maps
NeurIPS 2022
Nonconvex Matrix Completion with Linearly Parameterized Factors
JMLR 2022
Non-convex online learning via algorithmic equivalence
NeurIPS 2022
Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares
COLT 2022
Non-Iterative Recovery From Nonlinear Observations Using Generative Models
CVPR 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
NeurIPS 2022