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Jeremy Nixon

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What are you optimizing for? Aligning Recommender Systems with Human Values

Jul 22, 2021
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell

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Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning

Jun 07, 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

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Semi-Supervised Class Discovery

Feb 22, 2020
Jeremy Nixon, Jeremiah Liu, David Berthelot

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Resolving Spurious Correlations in Causal Models of Environments via Interventions

Feb 12, 2020
Sergei Volodin, Nevan Wichers, Jeremy Nixon

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Analyzing the Role of Model Uncertainty for Electronic Health Records

Jun 10, 2019
Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine Heller, Andrew M. Dai

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Measuring Calibration in Deep Learning

Apr 02, 2019
Jeremy Nixon, Mike Dusenberry, Linchuan Zhang, Ghassen Jerfel, Dustin Tran

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Learned optimizers that outperform SGD on wall-clock and test loss

Oct 26, 2018
Luke Metz, Niru Maheswaranathan, Jeremy Nixon, C. Daniel Freeman, Jascha Sohl-Dickstein

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