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)

Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits NeurIPS 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024 Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024 Altruism in Facility Location Problems AAAI 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 AMO-aware Aggregates in Answer Set Programming IJCAI 2024 A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs IJCAI 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints NeurIPS 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024 Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NeurIPS 2024 Analytically Tractable Models for Decision Making under Present Bias AAAI 2024 Analyzing D^α seeding for k-means ICML 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 An Approximate Skolem Function Counter AAAI 2024 An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms IJCAI 2024 A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NeurIPS 2024 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness ICML 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024