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
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Papers (including subtopics)
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
AAAI 2025
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
AAAI 2025
Near-optimal Active Regression of Single-Index Models
ICLR 2025
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
AISTATS 2025
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
ICML 2025
Near Optimal Non-asymptotic Sample Complexity of 1-Identification
ICML 2025
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
JMLR 2025
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
ICLR 2025
Near-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches
ALT 2025
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
ICML 2025
Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks
ICML 2025
Nested Expectations with Kernel Quadrature
ICML 2025
Nesterov acceleration in benignly non-convex landscapes
ICLR 2025
NETS: A Non-equilibrium Transport Sampler
ICML 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
Neural Event-Triggered Control with Optimal Scheduling
ICML 2025
Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration
WACV 2025
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
ICLR 2025
Neural Operators Can Play Dynamic Stackelberg Games
JMLR 2025
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
ICLR 2025
Neural Solver Selection for Combinatorial Optimization
ICML 2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
AAAI 2025
New Algorithms for #2-SAT and #3-SAT
IJCAI 2025
New Bounds for Sparse Variational Gaussian Processes
ICML 2025