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Measuring the sensitivity of Gaussian processes to kernel choice


Jun 11, 2021
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick


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k-Mixup Regularization for Deep Learning via Optimal Transport


Jun 05, 2021
Kristjan Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien


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Individually Fair Gradient Boosting


Mar 31, 2021
Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun

* ICLR Camera-Ready Version 

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Statistical inference for individual fairness


Mar 30, 2021
Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun


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Individually Fair Ranking


Mar 19, 2021
Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun

* ICLR Camera-Ready Version 

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There is no trade-off: enforcing fairness can improve accuracy


Nov 06, 2020
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun


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Online Semi-Supervised Learning with Bandit Feedback


Oct 23, 2020
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, DjallelBouneffouf


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Continuous Regularized Wasserstein Barycenters


Aug 28, 2020
Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon


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IBM Federated Learning: an Enterprise Framework White Paper V0.1


Jul 22, 2020
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

* 17 pages 

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Model Fusion with Kullback--Leibler Divergence


Jul 13, 2020
Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon

* ICML 2020 

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SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness


Jun 25, 2020
Mikhail Yurochkin, Yuekai Sun


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Two Simple Ways to Learn Individual Fairness Metrics from Data


Jun 19, 2020
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

* To appear in ICML 2020 

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Auditing ML Models for Individual Bias and Unfairness


Mar 11, 2020
Songkai Xue, Mikhail Yurochkin, Yuekai Sun

* In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 

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Federated Learning with Matched Averaging


Feb 15, 2020
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni

* Accepted by ICLR 2020 

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Alleviating Label Switching with Optimal Transport


Nov 10, 2019
Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Statistical Model Aggregation via Parameter Matching


Nov 01, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

* NeurIPS 2019 

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On Efficient Multilevel Clustering via Wasserstein Distances


Sep 19, 2019
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, and Dinh Phung

* 42 pages, 8 figures, JMLR submission. arXiv admin note: substantial text overlap with arXiv:1706.03883 

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Learning fair predictors with Sensitive Subspace Robustness


Jun 28, 2019
Mikhail Yurochkin, Amanda Bower, Yuekai Sun


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Hierarchical Optimal Transport for Document Representation


Jun 26, 2019
Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon


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Bayesian Nonparametric Federated Learning of Neural Networks


May 28, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

* ICML 2019 

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Dirichlet Simplex Nest and Geometric Inference


May 27, 2019
Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen

* ICML 2019 

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Streaming dynamic and distributed inference of latent geometric structures


Sep 24, 2018
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen


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Conic Scan-and-Cover algorithms for nonparametric topic modeling


Oct 09, 2017
Mikhail Yurochkin, Aritra Guha, XuanLong Nguyen


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Multi-way Interacting Regression via Factorization Machines


Sep 27, 2017
Mikhail Yurochkin, XuanLong Nguyen, Nikolaos Vasiloglou


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Multilevel Clustering via Wasserstein Means


Jun 13, 2017
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Phung

* Proceedings of the ICML, 2017 

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Geometric Dirichlet Means algorithm for topic inference


Oct 27, 2016
Mikhail Yurochkin, XuanLong Nguyen


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