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)
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
NeurIPS 2023
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
AAAI 2023
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
AAAI 2023
On the Saturation Effect of Kernel Ridge Regression
ICLR 2023
On the Size and Approximation Error of Distilled Datasets
NeurIPS 2023
On The Specialization of Neural Modules
ICLR 2023
On the spectral bias of two-layer linear networks
NeurIPS 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
NeurIPS 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
On the Statistical Benefits of Temporal Difference Learning
ICML 2023
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
NeurIPS 2023
On the Strategyproofness of the Geometric Median
AISTATS 2023
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling
IJCAI 2023
On the Sublinear Regret of GP-UCB
NeurIPS 2023
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
JMLR 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
NeurIPS 2023
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
ICLR 2023
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
NeurIPS 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Ontology-aware Learning and Evaluation for Audio Tagging
Interspeech 2023
On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm
AAAI 2023
On Translations between ML Models for XAI Purposes
IJCAI 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
JMLR 2023