Zelda Mariet - RankMe

21 papers A* 4A 3Journal 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. CoRR 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
2022	J	`jnl`	Ensembling over Classifiers: a Bias-Variance Perspective. CoRR Neha Gupta, Jamie Smith, Ben Adlam, Zelda Mariet
2022	J	`jnl`	Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR 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
2022	J	`jnl`	Pre-training helps Bayesian optimization too. CoRR Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
2022	J	`jnl`	Understanding the bias-variance tradeoff of Bregman divergences. CoRR Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith
2021	J	`jnl`	Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers. CoRR Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
2021	A	`conf`	Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. AISTATS Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
2021	J	`jnl`	Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR 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
2020	A*	`conf`	Population-Based Black-Box Optimization for Biological Sequence Design. ICML Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020	J	`jnl`	Population-Based Black-Box Optimization for Biological Sequence Design. CoRR Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020	J	`jnl`	Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
2019	A*	`conf`	A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes. ICML Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii
2019	J	`jnl`	DPPNet: Approximating Determinantal Point Processes with Deep Networks. CoRR Zelda Mariet, Yaniv Ovadia, Jasper Snoek
2019	A	`conf`	Foundations of Sequence-to-Sequence Modeling for Time Series. AISTATS Zelda Mariet, Vitaly Kuznetsov
2019	A	`conf`	Learning Determinantal Point Processes by Corrective Negative Sampling. AISTATS Zelda Mariet, Mike Gartrell, Suvrit Sra
2018	J	`jnl`	Foundations of Sequence-to-Sequence Modeling for Time Series. CoRR Vitaly Kuznetsov, Zelda Mariet
2018	J	`jnl`	Learning Determinantal Point Processes by Sampling Inferred Negatives. CoRR Zelda Mariet, Mike Gartrell, Suvrit Sra
2016	A*	`conf`	Diversity Networks. ICLR (Poster) Zelda Mariet, Suvrit Sra
2016	J	`jnl`	Kronecker Determinantal Point Processes. CoRR Zelda Mariet, Suvrit Sra
2015	J	`jnl`	Fixed-point algorithms for determinantal point processes. CoRR Zelda Mariet, Suvrit Sra
2015	A*	`conf`	Fixed-point algorithms for learning determinantal point processes. ICML Zelda Mariet, Suvrit Sra