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)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
ICML 2020
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
L4DC 2020
Black-Box Methods for Restoring Monotonicity
ICML 2020
Black-Box Optimization with Local Generative Surrogates
NeurIPS 2020
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
NeurIPS 2020
Blur Aware Calibration of Multi-Focus Plenoptic Camera
CVPR 2020
Boolean Games: Inferring Agents' Goals Using Taxation Queries
IJCAI 2020
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates
NeurIPS 2020
Boosting Frank-Wolfe by Chasing Gradients
ICML 2020
BOSS: Bayesian Optimization over String Spaces
NeurIPS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NeurIPS 2020
Bounded Incentives in Manipulating the Probabilistic Serial Rule
AAAI 2020
Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits
UAI 2020
Bounding Regret in Empirical Games
AAAI 2020
Bounding the expected run-time of nonconvex optimization with early stopping
UAI 2020
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
NeurIPS 2020
“Bring Your Own Greedy”+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack
AISTATS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions
AISTATS 2020
Budgeted Facility Location Games with Strategic Facilities
IJCAI 2020
Budgeted Online Influence Maximization
ICML 2020
Building Scalable and Flexible Cluster Managers Using Declarative Programming
OSDI 2020
Bundle Adjustment on a Graph Processor
CVPR 2020
Cakewalk Sampling
AAAI 2020
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
AISTATS 2020
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
ICML 2020