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)
Online Learning in Risk Sensitive constrained MDP
ICML 2025
Online Learning in the Random-Order Model
ICML 2025
Online Learning of Coalition Structures by Selfish Agents
AAAI 2025
Online Learning of Quantum States with Logarithmic Loss via VB-FTRL
ALT 2025
Online Learning with Stochastically Partitioning Experts
UAI 2025
Online Linear Classification with Massart Noise
ICML 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
AAAI 2025
Online Quantile Regression
JMLR 2025
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies
IJCAI 2025
Online Sparsification of Bipartite-Like Clusters in Graphs
ICML 2025
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
ICML 2025
On Probabilistic Embeddings in Optimal Dimension Reduction
JMLR 2025
On Shallow Planning Under Partial Observability
AAAI 2025
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
ICLR 2025
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
AAAI 2025
On the Benefits of Active Data Collection in Operator Learning
ICML 2025
On the Convergence of Min-Max Langevin Dynamics and Algorithm
COLT 2025
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
ICLR 2025
On the Convergence of Tâtonnement for Linear Fisher Markets
AAAI 2025
On the Design of a Robust Superdirective Beamformer and Topology Parameter Optimization with Frustum-Shaped Microphone Arrays Featuring Multiple Rings
Interspeech 2025
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
AAAI 2025
On the Hardness of Bandit Learning
COLT 2025
On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
COLT 2025
On the Modelling of Constraints with Tractable Logical Operators
AAAI 2025