Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences
NAACL 2022
Sketching based Representations for Robust Image Classification with Provable Guarantees
NeurIPS 2022
Skill-based Model-based Reinforcement Learning
CoRL 2022
Sliced Wasserstein variational inference
ACML 2022
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints
L4DC 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
JMLR 2022
Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data
AAAI 2022
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
ICML 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
NeurIPS 2022
Smoothed Online Learning is as Easy as Statistical Learning
COLT 2022
Smoothing Advantage Learning
AAAI 2022
Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique
CVPR 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
NeurIPS 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
NeurIPS 2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings
AISTATS 2022
Social Learning in Non-Stationary Environments
ALT 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
AAAI 2022
Society of Agents: Regret Bounds of Concurrent Thompson Sampling
NeurIPS 2022
SoFaiR: Single Shot Fair Representation Learning
IJCAI 2022
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions
ACL 2022
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
RSS 2022
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
ICML 2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
AISTATS 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication
AISTATS 2022
Solving PDE-Constrained Control Problems Using Operator Learning
AAAI 2022