Zelda Mariet
Zelda Mariet
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Diversity networks: neural network compression using determinantal point processes
Z Mariet, S Sra
arXiv preprint arXiv:1511.05077, 2015
822015
Fixed-point algorithms for learning determinantal point processes
Z Mariet, S Sra
International Conference on Machine Learning, 2389-2397, 2015
39*2015
Kronecker determinantal point processes
ZE Mariet, S Sra
Advances in Neural Information Processing Systems, 2694-2702, 2016
232016
Outlier detection in heterogeneous datasets using automatic tuple expansion
Z Mariet, R Harding, S Madden
182016
Elementary symmetric polynomials for optimal experimental design
ZE Mariet, S Sra
Advances in Neural Information Processing Systems, 2139-2148, 2017
172017
Foundations of Sequence-to-Sequence Modeling for Time Series
Z Mariet, V Kuznetsov
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
15*2019
A tree-based method for fast repeated sampling of determinantal point processes
J Gillenwater, A Kulesza, Z Mariet, S Vassilvtiskii
International Conference on Machine Learning, 2260-2268, 2019
52019
Exponentiated strongly rayleigh distributions
ZE Mariet, S Sra, S Jegelka
Advances in Neural Information Processing Systems, 4459-4469, 2018
52018
Learning determinantal point processes by corrective negative sampling
Z Mariet, M Gartrell, S Sra
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
3*2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks
ZE Mariet, Y Ovadia, J Snoek
Advances in Neural Information Processing Systems, 3223-3234, 2019
32019
Maximizing induced cardinality under a determinantal point process
JA Gillenwater, A Kulesza, S Vassilvitskii, ZE Mariet
Advances in Neural Information Processing Systems, 6911-6920, 2018
32018
Population-Based Black-Box Optimization for Biological Sequence Design
C Angermueller, D Belanger, A Gane, Z Mariet, D Dohan, K Murphy, ...
arXiv preprint arXiv:2006.03227, 2020
12020
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling
S Ariafar, Z Mariet, E Elhamifar, D Brooks, J Dy, J Snoek
arXiv preprint arXiv:2002.09927, 2020
12020
Biological Sequence Design using Batched Bayesian Optimization
D Belanger, S Vora, Z Mariet, R Deshpande, D Dohan, C Angermueller, ...
1
Population Based Optimization for Biological Sequence Design
C Angermueller, D Belanger, A Gane, Z Mariet, DM Dohan, KP Murphy, ...
2020
Learning with generalized negative dependence: probabilistic models of diversity for machine learning
ZE Mariet
Massachusetts Institute of Technology, 2019
2019
Learning and enforcing diversity with Determinantal Point Processes
ZE Mariet
Massachusetts Institute of Technology, 2016
2016
Motion Planning using Naturally Annoying Grammars (NAGs)
CR Garrett, C Gehring, G Goretkin, Z Mariet, Z Wang
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Articles 1–18