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
'15
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'25
Papers (including subtopics)
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
CVPR 2025
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
ICML 2025
Tokenisation is NP-Complete
ACL 2025
Tokenized Bandit for LLM Decoding and Alignment
ICML 2025
Toward a Unified Theory of Gradient Descent under Generalized Smoothness
ICML 2025
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
ICML 2025
Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
L4DC 2025
Toward Robust Neural Reconstruction from Sparse Point Sets
CVPR 2025
Towards a Practical Tool for Music Composition: Using Constraint Programming to Model Chord Progressions and Modulations
IJCAI 2025
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
AAAI 2025
Towards Better-than-2 Approximation for Constrained Correlation Clustering
ICML 2025
Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach
ACL 2025
Towards Fair Representation: Clustering and Consensus
COLT 2025
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
ACL 2025
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
ICLR 2025
Towards Marginal Fairness Sliced Wasserstein Barycenter
ICLR 2025
Towards Optimal Evaluation Efficiency for Large Language Models
EMNLP 2025
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
CVPR 2025
Towards Projected and Incremental Pseudo-Boolean Model Counting
AAAI 2025
Towards Real-Time Approximate Counting
AAAI 2025
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
AAAI 2025
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking
WACV 2025
Towards Trustworthy Federated Learning with Untrusted Participants
ICML 2025
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
ICML 2025
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation
IJCAI 2025