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)
Open Problem: Model Selection for Contextual Bandits
COLT 2020
Open Problem: Tight Convergence of SGD in Constant Dimension
COLT 2020
Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions
ALT 2020
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
NeurIPS 2020
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
JMLR 2020
Optimal Algorithms for Multiplayer Multi-Armed Bandits
AISTATS 2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
NeurIPS 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
NeurIPS 2020
Optimal approximation for unconstrained non-submodular minimization
ICML 2020
Optimal Approximation of Doubly Stochastic Matrices
AISTATS 2020
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions
NeurIPS 2020
Optimal Best-arm Identification in Linear Bandits
NeurIPS 2020
Optimal Bounds between f-Divergences and Integral Probability Metrics
ICML 2020
Optimal Common Contract with Heterogeneous Agents
AAAI 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
JMLR 2020
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
NeurIPS 2020
Optimal Group Testing
COLT 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
NeurIPS 2020
Optimality, Accuracy, and Efficiency of an Exact Functional Test
IJCAI 2020
Optimal Learning from Verified Training Data
NeurIPS 2020
Optimal least-squares solution to the hand-eye calibration problem
CVPR 2020
Optimally Guarding Perimeters and Regions with Mobile Range Sensors
RSS 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
ICML 2020
Optimal Margin Distribution Learning in Dynamic Environments
AAAI 2020
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
ICML 2020