Martin J. Zhang

According to our database, Martin J. Zhang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

Faster Maximum Inner Product Search in High Dimensions.

Mo Tiwari, Ryan Kang, Jaeyong Lee, Donghyun Lee, Christopher Piech, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BanditPAM++: Faster k-medoids Clustering.

Mo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Chris Piech, Ilan Shomorony, Martin Jinye Zhang

CoRR, 2023

BanditPAM++: Faster k-medoids Clustering.

Mo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Ilan Shomorony, Martin J. Zhang

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

2022

Faster Maximum Inner Product Search in High Dimensions.

Mo Tiwari, Ryan Kang, Je-Yong Lee, Luke Lee, Chris Piech, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang

CoRR, 2022

MABSplit: Faster Forest Training Using Multi-Armed Bandits.

Mo Tiwari, Ryan Kang, Je-Yong Lee, Sebastian Thrun, Chris Piech, Ilan Shomorony, Martin Jinye Zhang

CoRR, 2022

MABSplit: Faster Forest Training Using Multi-Armed Bandits.

Mo Tiwari, Ryan Kang, Jaeyong Lee, Chris Piech, Ilan Shomorony, Sebastian Thrun, Martin J. Zhang

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

MLDemon: Deployment Monitoring for Machine Learning Systems.

Tony Ginart, Martin Jinye Zhang, James Zou

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

2020

Bandit-PAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits.

Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, Ilan Shomorony

CoRR, 2020

BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits.

Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, Ilan Shomorony

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

2019

AdaFDR: A Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing.

Martin J. Zhang, Fei Xia, James Zou

Proceedings of the Research in Computational Molecular Biology, 2019

Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits.

Martin J. Zhang, James Zou, David Tse

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

2018

Medoids in Almost-Linear Time via Multi-Armed Bandits.

Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse

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

2017

Contrastive Principal Component Analysis.

Abubakar Abid, Vivek Kumar Bagaria, Martin J. Zhang, James Y. Zou

CoRR, 2017

NeuralFDR: Learning Discovery Thresholds from Hypothesis Features.

Fei Xia, Martin J. Zhang, James Y. Zou, David Tse

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

2016

Block-wise map inference for determinantal point processes with application to change-point detection.

Martin J. Zhang, Zhijian Ou

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016