Zelda Mariet

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Bias Variance Tradeoff

Top Venues

Publications

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 (2023)
Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith
Understanding the bias-variance tradeoff of Bregman divergences. CoRR (2022)
Dustin Tran, Jeremiah 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 (2022)
Neha Gupta, Jamie Smith, Ben Adlam, Zelda Mariet
Ensembling over Classifiers: a Bias-Variance Perspective. CoRR (2022)
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 (2022)
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)
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 (2021)
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah 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 (2021)
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 (2020)
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 (2020)
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)
Zelda Mariet, Vitaly Kuznetsov
Foundations of Sequence-to-Sequence Modeling for Time Series. AISTATS (2019)
Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes. ICML (2019)
Zelda Mariet, Yaniv Ovadia, Jasper Snoek
DPPNet: Approximating Determinantal Point Processes with Deep Networks. CoRR (2019)
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Determinantal Point Processes by Corrective Negative Sampling. AISTATS (2019)
Vitaly Kuznetsov, Zelda Mariet
Foundations of Sequence-to-Sequence Modeling for Time Series. CoRR (2018)
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Determinantal Point Processes by Sampling Inferred Negatives. CoRR (2018)
Zelda Mariet, Suvrit Sra
Diversity Networks. ICLR (Poster) (2016)
Zelda Mariet, Suvrit Sra
Kronecker Determinantal Point Processes. CoRR (2016)
Zelda Mariet, Suvrit Sra
Fixed-point algorithms for determinantal point processes. CoRR (2015)
Zelda Mariet, Suvrit Sra
Fixed-point algorithms for learning determinantal point processes. ICML (2015)