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ORCIDZelda Mariet
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2020 – today
- 2023
[c13]Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda E. Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura:
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. NeurIPS 2023- [i15]Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura:
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. CoRR abs/2306.03329 (2023) - 2022
- [j2]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:
Sparse MoEs meet Efficient Ensembles. Trans. Mach. Learn. Res. 2022 (2022) - [j1]Neha Gupta, Jamie Smith, Ben Adlam, Zelda E. Mariet:
Ensembles of Classifiers: a Bias-Variance Perspective. Trans. Mach. Learn. Res. 2022 (2022) - [i14]Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith:
Understanding the bias-variance tradeoff of Bregman divergences. CoRR abs/2202.04167 (2022) - [i13]Neha Gupta, Jamie Smith, Ben Adlam, Zelda Mariet:
Ensembling over Classifiers: a Bias-Variance Perspective. CoRR abs/2206.10566 (2022) - [i12]Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani:
Pre-training helps Bayesian optimization too. CoRR abs/2207.03084 (2022) - [i11]Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - 2021
- [c12]Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS 2021: 3961-3969 - [i10]Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Z. Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran:
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR abs/2106.04015 (2021) - [i9]Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani:
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers. CoRR abs/2109.08215 (2021) - [i8]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:
Sparse MoEs meet Efficient Ensembles. CoRR abs/2110.03360 (2021) - 2020
- [c11]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. ICML 2020: 324-334 - [i7]Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek:
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR abs/2002.09927 (2020) - [i6]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR abs/2006.03227 (2020)
2010 – 2019
- 2019
- [b1]Zelda E. Mariet:
Learning with generalized negative dependence: probabilistic models of diversity for machine learning. Massachusetts Institute of Technology, Cambridge, USA, 2019 - [c10]Zelda Mariet, Vitaly Kuznetsov:
Foundations of Sequence-to-Sequence Modeling for Time Series. AISTATS 2019: 408-417 - [c9]Zelda Mariet, Mike Gartrell, Suvrit Sra:
Learning Determinantal Point Processes by Corrective Negative Sampling. AISTATS 2019: 2251-2260 - [c8]Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii:
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes. ICML 2019: 2260-2268 - [c7]Zelda E. Mariet, Yaniv Ovadia, Jasper Snoek:
DppNet: Approximating Determinantal Point Processes with Deep Networks. NeurIPS 2019: 3218-3229 - [i5]Zelda Mariet, Yaniv Ovadia, Jasper Snoek:
DPPNet: Approximating Determinantal Point Processes with Deep Networks. CoRR abs/1901.02051 (2019) - 2018
- [c6]Zelda E. Mariet, Suvrit Sra, Stefanie Jegelka:
Exponentiated Strongly Rayleigh Distributions. NeurIPS 2018: 4464-4474 - [c5]Jennifer A. Gillenwater, Alex Kulesza, Sergei Vassilvitskii, Zelda E. Mariet:
Maximizing Induced Cardinality Under a Determinantal Point Process. NeurIPS 2018: 6911-6920 - [i4]Zelda Mariet, Mike Gartrell, Suvrit Sra:
Learning Determinantal Point Processes by Sampling Inferred Negatives. CoRR abs/1802.05649 (2018) - [i3]Vitaly Kuznetsov, Zelda Mariet:
Foundations of Sequence-to-Sequence Modeling for Time Series. CoRR abs/1805.03714 (2018) - 2017
- [c4]Zelda E. Mariet, Suvrit Sra:
Elementary Symmetric Polynomials for Optimal Experimental Design. NIPS 2017: 2139-2148 - 2016
- [c3]Zelda E. Mariet, Suvrit Sra:
Kronecker Determinantal Point Processes. NIPS 2016: 2694-2702 - [c2]Zelda Mariet, Suvrit Sra:
Diversity Networks. ICLR (Poster) 2016 - [i2]Zelda Mariet, Suvrit Sra:
Kronecker Determinantal Point Processes. CoRR abs/1605.08374 (2016) - 2015
- [c1]Zelda Mariet, Suvrit Sra:
Fixed-point algorithms for learning determinantal point processes. ICML 2015: 2389-2397 - [i1]Zelda Mariet, Suvrit Sra:
Fixed-point algorithms for determinantal point processes. CoRR abs/1508.00792 (2015)
Coauthor Index
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