Aritra Guha

According to our database, Aritra Guha authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts.

Prasanjit Dubey, Aritra Guha, Zhengyi Zhou, Qiong Wu, Xiaoming Huo, Paromita Dubey

CoRR, December, 2025

2024

Functional optimal transport: regularized map estimation and domain adaptation for functional data.

Jiacheng Zhu, Aritra Guha, Dat Do, Mengdi Xu, XuanLong Nguyen, Ding Zhao

J. Mach. Learn. Res., 2024

2023

Interpolation for Robust Learning: Data Augmentation on Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

CoRR, 2023

Scalable nonparametric Bayesian learning for dynamic velocity fields.

Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances.

Aritra Guha, Nhat Ho, XuanLong Nguyen

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes.

Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou

CoRR, 2022

2021

Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields.

Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen

CoRR, 2021

Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.

Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao

CoRR, 2021

Outlier-Robust Optimal Transport.

Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Robust Unsupervised Learning of Temporal Dynamic Interactions.

Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao

CoRR, 2020

2019

Scalable inference of topic evolution via models for latent geometric structures.

Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen

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

Dirichlet Simplex Nest and Geometric Inference.

Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Streaming dynamic and distributed inference of latent geometric structures.

Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen

CoRR, 2018

2017

Conic Scan-and-Cover algorithms for nonparametric topic modeling.

Mikhail Yurochkin, Aritra Guha, XuanLong Nguyen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017