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)
Fast and Smooth Interpolation on Wasserstein Space
AISTATS 2021
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
NeurIPS 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
NeurIPS 2021
Fast convergence of stochastic subgradient method under interpolation
ICLR 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
NeurIPS 2021
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
NeurIPS 2021
Faster and Better Simple Temporal Problems
AAAI 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
AAAI 2021
Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions
IJCAI 2021
Faster Kernel Interpolation for Gaussian Processes
AISTATS 2021
Faster lifting for two-variable logic using cell graphs
UAI 2021
Faster Matchings via Learned Duals
NeurIPS 2021
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization
ICCV 2021
Faster Non-asymptotic Convergence for Double Q-learning
NeurIPS 2021
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
NeurIPS 2021
Fast Learning for Renewal Optimization in Online Task Scheduling
JMLR 2021
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints
IJCAI 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
AAAI 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NeurIPS 2021
Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization
WACV 2021
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
NeurIPS 2021
Fast Pure Exploration via Frank-Wolfe
NeurIPS 2021
Fast Rate Learning in Stochastic First Price Bidding
ACML 2021
Fast rates for prediction with limited expert advice
NeurIPS 2021