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
Cardinality-Aware Set Prediction and Top-k Classification
NeurIPS 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
ICML 2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
ICML 2024
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
CausalLM is not optimal for in-context learning
ICLR 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
AISTATS 2024
Certifiably Byzantine-Robust Federated Conformal Prediction
ICML 2024
Certified private data release for sparse Lipschitz functions
AISTATS 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning
NeurIPS 2024
Characterizing ResNet’s Universal Approximation Capability
ICML 2024
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
ICLR 2024
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation
AAAI 2024
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
CLOMO: Counterfactual Logical Modification with Large Language Models
ACL 2024
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
NeurIPS 2024
Collaborative Learning with Different Labeling Functions
ICML 2024
Collaborative Performance Prediction for Large Language Models
EMNLP 2024
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
AAAI 2024
Community detection in the hypergraph stochastic block model and reconstruction on hypertrees
COLT 2024
Compact Proofs of Model Performance via Mechanistic Interpretability
NeurIPS 2024
Compare without Despair: Reliable Preference Evaluation with Generation Separability
EMNLP 2024
Comparing Comparators in Generalization Bounds
AISTATS 2024
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
NeurIPS 2024
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
COLT 2024
Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract)
COLT 2024