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 Stability of Expressive Positional Encodings for Graphs
ICLR 2024
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
On The Statistical Complexity of Offline Decision-Making
ICML 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
AISTATS 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NeurIPS 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
AISTATS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
AISTATS 2024
On the token distance modeling ability of higher RoPE attention dimension
EMNLP 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
NAACL 2024
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
ICML 2024
On the uniqueness of solution for the Bellman equation of LTL objectives
L4DC 2024
On the Unstable Convergence Regime of Gradient Descent
AAAI 2024
On the Variance of Neural Network Training with respect to Test Sets and Distributions
ICLR 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
ICLR 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
AISTATS 2024
On the Weight Dynamics of Deep Normalized Networks
ICML 2024
On Tractable Φ-Equilibria in Non-Concave Games
NeurIPS 2024
On Training Data Influence of GPT Models
EMNLP 2024
On Truthing Issues in Supervised Classification
JMLR 2024
On Unbiased Estimation for Partially Observed Diffusions
JMLR 2024
On Using Admissible Bounds for Learning Forward Search Heuristics
IJCAI 2024
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
ICML 2024
Open Ad Hoc Teamwork with Cooperative Game Theory
ICML 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
JMLR 2024
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
ACL 2024