Guha, Aritra

9 publications

JMLR 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

ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao

ICML 2023 On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances Aritra Guha, Nhat Ho, Xuanlong Nguyen

UAI 2023 Scalable Nonparametric Bayesian Learning for Dynamic Velocity Fields Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen

NeurIPSW 2022 Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl Brooks, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou

ICML 2021 Outlier-Robust Optimal Transport Debarghya Mukherjee, Aritra Guha, Justin M Solomon, Yuekai Sun, Mikhail Yurochkin

ICML 2019 Dirichlet Simplex Nest and Geometric Inference Mikhail Yurochkin, Aritra Guha, Yuekai Sun, Xuanlong Nguyen

NeurIPS 2019 Scalable Inference of Topic Evolution via Models for Latent Geometric Structures Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, Xuanlong Nguyen

NeurIPS 2017 Conic Scan-and-Cover Algorithms for Nonparametric Topic Modeling Mikhail Yurochkin, Aritra Guha, Xuanlong Nguyen