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Papers
Robustness Implies Generalization via Data-Dependent Generalization Bounds
ICML 2022
Sharp Analysis of Random Fourier Features in Classification
AAAI 2022
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning
UAI 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics
COLT 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
NeurIPS 2022
Stability Analysis and Generalization Bounds of Adversarial Training
NeurIPS 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
NeurIPS 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods
NeurIPS 2022
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
NeurIPS 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
ICML 2022
Stability of SGD: Tightness analysis and improved bounds
UAI 2022
Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond
COLT 2022
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
NeurIPS 2022
Supervised Learning with General Risk Functionals
ICML 2022
Target alignment in truncated kernel ridge regression
NeurIPS 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NeurIPS 2022
Task Relatedness-Based Generalization Bounds for Meta Learning
ICLR 2022
The Trade-offs of Domain Adaptation for Neural Language Models
ACL 2022
Topology-aware Generalization of Decentralized SGD
ICML 2022
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
ICLR 2022
Towards Understanding Sharpness-Aware Minimization
ICML 2022
Understanding Dataset Difficulty with V-Usable Information
ICML 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
ICML 2022
Uniform Stability for First-Order Empirical Risk Minimization
COLT 2022