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Papers
Multi-group Agnostic PAC Learnability
ICML 2021
Narrow Margins: Classification, Margins and Fat Tails
ICML 2021
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
AAAI 2021
On the proliferation of support vectors in high dimensions
AISTATS 2021
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
NeurIPS 2021
Optimal Rates for Random Order Online Optimization
NeurIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
NeurIPS 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes
COLT 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
ICML 2021
Provably Strict Generalisation Benefit for Equivariant Models
ICML 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
ICML 2021
Relative Deviation Margin Bounds
ICML 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
NeurIPS 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
AISTATS 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
ICML 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
NeurIPS 2021
Robust Learning for Data Poisoning Attacks
ICML 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
ACL 2021
Sharper Generalization Bounds for Clustering
ICML 2021
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
ICLR 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
NeurIPS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
AISTATS 2021
Stability and Generalization for Randomized Coordinate Descent
IJCAI 2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
NeurIPS 2021