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)
POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization
AAAI 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract)
AAAI 2020
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
AAAI 2020
Practical Locally Private Heavy Hitters
JMLR 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton
NeurIPS 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
AAAI 2020
Predicting Propositional Satisfiability via End-to-End Learning
AAAI 2020
Predicting Training Time Without Training
NeurIPS 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
ICML 2020
Prediction with Corrupted Expert Advice
NeurIPS 2020
Preference learning along multiple criteria: A game-theoretic perspective
NeurIPS 2020
Preselection Bandits
ICML 2020
Price of Fairness in Budget Division and Probabilistic Social Choice
AAAI 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
NeurIPS 2020
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
ICML 2020
Probabilistic Inference for Predicate Constraint Satisfaction
AAAI 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
NeurIPS 2020
Probabilistic Linear Solvers for Machine Learning
NeurIPS 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
L4DC 2020
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications
RSS 2020
Processing effort is a poor predictor of cross-linguistic word order frequency
CoNLL 2020
Programmable Calendar Queues for High-speed Packet Scheduling
NSDI 2020
Projected Stein Variational Gradient Descent
NeurIPS 2020