Mariet, Zelda E.

9 publications

NeurIPS 2023 AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer Wei, Zelda E. Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy Colwell, Akihiro Imura

TMLR 2022 Ensembles of Classifiers: A Bias-Variance Perspective Neha Gupta, Jamie Smith, Ben Adlam, Zelda E Mariet

ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

TMLR 2022 Sparse MoEs Meet Efficient Ensembles James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton

NeurIPS 2019 DppNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet, Yaniv Ovadia, Jasper Snoek

NeurIPS 2018 Exponentiated Strongly Rayleigh Distributions Zelda E. Mariet, Suvrit Sra, Stefanie Jegelka

NeurIPS 2018 Maximizing Induced Cardinality Under a Determinantal Point Process Jennifer A Gillenwater, Alex Kulesza, Sergei Vassilvitskii, Zelda E. Mariet

NeurIPS 2017 Elementary Symmetric Polynomials for Optimal Experimental Design Zelda E. Mariet, Suvrit Sra

NeurIPS 2016 Kronecker Determinantal Point Processes Zelda E. Mariet, Suvrit Sra