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)
Bandit Convex Optimization in Non-stationary Environments
AISTATS 2020
Bandit Linear Control
NeurIPS 2020
Bandit optimisation of functions in the Matérn kernel RKHS
AISTATS 2020
Bandits with Adversarial Scaling
ICML 2020
Batch Stationary Distribution Estimation
ICML 2020
Batchy: Batch-scheduling Data Flow Graphs with Service-level Objectives
NSDI 2020
Bayesian experimental design using regularized determinantal point processes
AISTATS 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
AAAI 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
ICML 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
AAAI 2020
Bayesian Optimization of Risk Measures
NeurIPS 2020
Bayesian Optimization using Pseudo-Points
IJCAI 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models
NeurIPS 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
AAAI 2020
Belief Propagation Neural Networks
NeurIPS 2020
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
ICML 2020
Best Arm Identification in Spectral Bandits
IJCAI 2020
Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation
COLT 2020
Better Full-Matrix Regret via Parameter-Free Online Learning
NeurIPS 2020
Beyond Lazy Training for Over-parameterized Tensor Decomposition
NeurIPS 2020
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles
AAAI 2020
Biased Opinion Dynamics: When the Devil is in the Details
IJCAI 2020
Bidirectional Heuristic Search: Expanding Nodes by a Lower Bound
IJCAI 2020
Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs
IJCAI 2020
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
AISTATS 2020