Qifan Song

CoRR, 2024

Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data.

[BibT_eX]

[DOI]

CoRR, 2024

Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Federated X-armed Bandit.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes.

[BibT_eX]

[DOI]

Jinwon Sohn

Guang Lin

CoRR, 2023

Personalized Federated X -armed Bandit.

[BibT_eX]

[DOI]

Wenjie Li

Jean Honorio

CoRR, 2023

Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2023

On Neural Network approximation of ideal adversarial attack and convergence of adversarial training.

[BibT_eX]

[DOI]

Rajdeep Haldar

CoRR, 2023

A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules.

[BibT_eX]

[DOI]

Sehwan Kim

CoRR, 2023

Matrix Completion from General Deterministic Sampling Patterns.

[BibT_eX]

[DOI]

CoRR, 2023

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms.

[BibT_eX]

[DOI]

CoRR, 2023

Support Recovery in Sparse PCA with Non-Random Missing Data.

[BibT_eX]

[DOI]

Hanbyul Lee

Jean Honorio

CoRR, 2023

2022

Benefit of Interpolation in Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., June, 2022

Phase Transition from Clean Training to Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why Do Artificially Generated Data Help Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Support Recovery in Sparse PCA with Incomplete Data.

[BibT_eX]

[DOI]

Hanbyul Lee

Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unlabeled Data Help: Minimax Analysis and Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Consistent Sparse Deep Learning: Theory and Computation.

[BibT_eX]

[DOI]

Yan Sun

CoRR, 2021

On the Algorithmic Stability of Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Generalization Properties of Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Predictive Power of Nearest Neighbors Algorithm under Random Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors.

[BibT_eX]

[DOI]

Jincheng Bai

CoRR, 2020

Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts.

[BibT_eX]

[DOI]

Sehwan Kim

CoRR, 2020

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee.

[BibT_eX]

[DOI]

Jincheng Bai

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Statistical Optimality of Interpolated Nearest Neighbor Algorithms.

[BibT_eX]

[DOI]

CoRR, 2018

2016

A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data.

[BibT_eX]

[DOI]

Jinsu Kim