Learning Theory
6,809 papers
Papers per year
1
16
16
15
17
34
39
36
40
73
85
80
100
126
128
134
186
231
408
512
684
730
905
1,112
883
218
'5
'10
'15
'20
'25
Papers
On the Efficiency of ERM in Feature Learning
NeurIPS 2024
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
NeurIPS 2024
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
ICLR 2024
On the Expressivity of Recurrent Neural Cascades
AAAI 2024
On the Foundations of Shortcut Learning
ICLR 2024
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
ICLR 2024
On the generalization capacity of neural networks during generic multimodal reasoning
ICLR 2024
On the Generalization of Equivariant Graph Neural Networks
ICML 2024
On the Generalization of Stochastic Gradient Descent with Momentum
JMLR 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective
COLT 2024
On the hardness of learning under symmetries
ICLR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
JMLR 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
NeurIPS 2024
On the In-context Generation of Language Models
EMNLP 2024
On the Intractability to Synthesize Factual Inconsistencies in Summarization
EACL 2024
On the Joint Interaction of Models, Data, and Features
ICLR 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 Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 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 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