Foti, Nicholas J.

9 publications

ICML 2025 Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J Foti, Joseph Futoma

MLHC 2020 Learning Insulin-Glucose Dynamics in the Wild Andrew C. Miller, Nicholas J. Foti, Emily Fox

UAI 2019 Adaptively Truncating Backpropagation Through Time to Control Gradient Bias Christopher Aicher, Nicholas J. Foti, Emily B. Fox

ICML 2018 Oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox

ICML 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models Yi-An Ma, Nicholas J. Foti, Emily B. Fox

ICML 2017 Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams

UAI 2015 Bayesian Structure Learning for Stationary Time Series Alex Tank, Nicholas J. Foti, Emily B. Fox

AISTATS 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models Alex Tank, Nicholas J. Foti, Emily B. Fox

AISTATS 2013 A Unifying Representation for a Class of Dependent Random Measures Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson