Smart Integration of Variable and Intermittent Renewables. - Jay Apt; Emily Fertig; Warren Katzenstein (HICSS, 2012)

β-VAEs can retain label information even at high compression. - Emily Fertig; Aryan Arbabi; Alexander A. Alemi (CoRR, 2018)

Likelihood Ratios for Out-of-Distribution Detection. - Jie Ren 006; Peter J. Liu; Emily Fertig; Jasper Snoek; Ryan Poplin; Mark A. DePristo; Joshua V. Dillon; Balaji Lakshminarayanan (NeurIPS, 2019)

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. - Jasper Snoek; Yaniv Ovadia; Emily Fertig; Balaji Lakshminarayanan; Sebastian Nowozin; D. Sculley; Joshua V. Dillon; Jie Ren 006; Zachary Nado (NeurIPS, 2019)

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. - Bryan Seybold; Emily Fertig; Alex Alemi; Ian Fischer (CoRR, 2019)

Automatic structured variational inference. - Luca Ambrogioni; Kate Lin; Emily Fertig; Sharad Vikram; Max Hinne; Dave Moore; Marcel van Gerven (AISTATS, 2021)

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. - Gianluigi Silvestri; Emily Fertig; Dave Moore; Luca Ambrogioni (ICLR, 2022)

The Vizier Gaussian Process Bandit Algorithm. - Xingyou Song; Qiuyi Zhang 001; Chansoo Lee; Emily Fertig; Tzu-Kuo Huang; Lior Belenki; Greg Kochanski; Setareh Ariafar; Srinivas Vasudevan; Sagi Perel; Daniel Golovin (CoRR, 2024)