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 Intractability to Synthesize Factual Inconsistencies in Summarization
EACL 2024
On the Intrinsic Structures of Spiking Neural Networks
JMLR 2024
On the Joint Interaction of Models, Data, and Features
ICLR 2024
On the Lasso for Graphical Continuous Lyapunov Models
CLeaR 2024
On the Last-Iterate Convergence of Shuffling Gradient Methods
ICML 2024
On the Learnability of Out-of-distribution Detection
JMLR 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
On the Limitations of Temperature Scaling for Distributions with Overlaps
ICLR 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers
ICML 2024
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
ICML 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
NeurIPS 2024
On the Misspecification of Linear Assumptions in Synthetic Controls
AISTATS 2024
On the Model-Misspecification in Reinforcement Learning
AISTATS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NeurIPS 2024
On the Nonlinearity of Layer Normalization
ICML 2024
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
NeurIPS 2024
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
JMLR 2024
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
NeurIPS 2024
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
AAAI 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
ICLR 2024
On The Performance of EMA-synchronized Speech and Stand-alone Speech in Acoustic-to-articulatory Inversion
Interspeech 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024