Skip to content
conftrace_

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
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

An Improved Algorithm for Online Min-Sum Set Cover AAAI 2023 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023 An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits NeurIPS 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023 An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023 Anonymous and Copy-Robust Delegations for Liquid Democracy NeurIPS 2023 An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NeurIPS 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023 An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions NeurIPS 2023 A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC IJCAI 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 A Novel Integer Linear Programming Approach for Global L0 Minimization JMLR 2023 Anytime Model Selection in Linear Bandits NeurIPS 2023 A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment NeurIPS 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 A PDE approach for regret bounds under partial monitoring JMLR 2023 Applied Online Algorithms with Heterogeneous Predictors ICML 2023 Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders NeurIPS 2023 Approximate Causal Effect Identification under Weak Confounding ICML 2023 Approximate Envy-Freeness in Graphical Cake Cutting IJCAI 2023 Approximate Inference in Logical Credal Networks IJCAI 2023 Approximate inference of marginals using the IBIA framework NeurIPS 2023 Approximately Optimal Core Shapes for Tensor Decompositions ICML 2023