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
'5
'10
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Papers (including subtopics)
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
ICML 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
Efficient Distributed Optimization under Heavy-Tailed Noise
ICML 2025
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
ICML 2025
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
AAAI 2025
Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
ICLR 2025
Efficiently Escaping Saddle Points in Bilevel Optimization
JMLR 2025
Efficiently Identifying Watermarked Segments in Mixed-Source Texts
ACL 2025
Efficiently learning and sampling multimodal distributions with data-based initialization
COLT 2025
Efficiently Vectorized MCMC on Modern Accelerators
ICML 2025
Efficient Methods for Non-stationary Online Learning
JMLR 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
ICML 2025
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
COLT 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
JMLR 2025
Efficient Optimization Algorithms for Linear Adversarial Training
AISTATS 2025
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
ICML 2025
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate
ALT 2025
Efficient Sparse PCA via Block-Diagonalization
ICLR 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
AAAI 2025
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
AISTATS 2025
EFX Feasible Scheduling for Time-dependent Resources
IJCAI 2025
e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control
ICML 2025
Eliminating Majority Illusion Is Easy
AAAI 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
ICML 2025