Theory
5,579 papers
Papers per year
1
2
3
3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
805
612
154
2000
'5
'10
'15
'20
'25
Papers
The Complexity of k-Means Clustering when Little is Known
ICML 2022
The Complexity of Proportionality Degree in Committee Elections
AAAI 2022
The computational and learning benefits of Daleian neural networks
NeurIPS 2022
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
ICLR 2022
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
AISTATS 2022
The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting
CVPR 2022
The Document Vectors Using Cosine Similarity Revisited
ACL 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
ICML 2022
The Egocentric Logic of Preferences
IJCAI 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
NeurIPS 2022
The Geometry of Robust Value Functions
ICML 2022
The Gyro-Structure of Some Matrix Manifolds
NeurIPS 2022
The Hessian Screening Rule
NeurIPS 2022
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
ICLR 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
NeurIPS 2022
The Implicit Bias of Benign Overfitting
COLT 2022
The Implicit Delta Method
NeurIPS 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration
ICML 2022
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks
JMLR 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing
AAAI 2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
NeurIPS 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
JMLR 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
AAAI 2022
Theoretically Provable Spiking Neural Networks
NeurIPS 2022
The Pitfalls of Regularization in Off-Policy TD Learning
NeurIPS 2022