Eli Chien

CoRR, 2024

Differentially Private Graph Diffusion with Applications in Personalized PageRanks.

[BibT_eX]

[DOI]

Rongzhe Wei

CoRR, 2024

Stochastic Gradient Langevin Unlearning.

[BibT_eX]

[DOI]

CoRR, 2024

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2024

Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Machine Unlearning of Pre-trained Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Provably accurate and scalable linear classifiers in hyperbolic spaces.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., April, 2023

Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Unlearning Graph Classifiers with Limited Data Resources.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Representer Point Selection for Explaining Regularized High-dimensional Models.

[BibT_eX]

[DOI]

Pradeep Kumar Ravikumar

Proceedings of the International Conference on Machine Learning, 2023

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Efficient Model Updates for Approximate Unlearning of Graph-Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime.

[BibT_eX]

[DOI]

CoRR, 2022

Certified Graph Unlearning.

[BibT_eX]

[DOI]

CoRR, 2022

HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering.

[BibT_eX]

[DOI]

Puoya Tabaghi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Linear Classifiers in Mixed Constant Curvature Spaces.

[BibT_eX]

[DOI]

CoRR, 2021

Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Support Estimation with Sampling Artifacts and Errors.

[BibT_eX]

[DOI]

Angelia Nedich

Proceedings of the IEEE International Symposium on Information Theory, 2021

Adaptive Universal Generalized PageRank Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Highly Scalable and Provably Accurate Classification in Poincaré Balls.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Active Learning in the Geometric Block Model.

[BibT_eX]

[DOI]

Antonia M. Tulino

Jaime Llorca

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On the Minimax Misclassification Ratio of Hypergraph Community Detection.

[BibT_eX]

[DOI]

I Eli Chien

Chung-Yi Lin

I-Hsiang Wang

IEEE Trans. Inf. Theory, 2019

Support Estimation via Regularized and Weighted Chebyshev Approximations.

[BibT_eX]

[DOI]

CoRR, 2019

Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HS<sup>2</sup>: Active learning over hypergraphs with pointwise and pairwise queries.

[BibT_eX]

[DOI]

Huozhi Zhou

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

HS<sup>2</sup>: Active Learning over Hypergraphs.

[BibT_eX]

[DOI]

Huozhi Zhou

CoRR, 2018

Query K-means Clustering and the Double Dixie Cup Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms.

[BibT_eX]

[DOI]

Chung-Yi Lin

I-Hsiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

On the fundamental statistical limit of community detection in random hypergraphs.

[BibT_eX]

[DOI]

Chung-Yi Lin