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 Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms
NeurIPS 2023
Fast Approximation of Similarity Graphs with Kernel Density Estimation
NeurIPS 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
ICML 2023
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
NeurIPS 2023
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
NeurIPS 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations
AISTATS 2023
Fast Combinatorial Algorithms for Min Max Correlation Clustering
ICML 2023
Fast Computation of Branching Process Transition Probabilities via ADMM
AISTATS 2023
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
NeurIPS 2023
Fast Converging Anytime Model Counting
AAAI 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
NeurIPS 2023
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
IJCAI 2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
ICML 2023
Faster Gradient-Free Methods for Escaping Saddle Points
ICLR 2023
Faster Margin Maximization Rates for Generic Optimization Methods
NeurIPS 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
Faster Query Times for Fully Dynamic k-Center Clustering with Outliers
NeurIPS 2023
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
NeurIPS 2023
Fast Feature Selection with Fairness Constraints
AISTATS 2023
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
AAAI 2023
Fast Nonlinear Vector Quantile Regression
ICLR 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
JMLR 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
NeurIPS 2023