# Research

## In Submission

Clustering Left-Censored Multivariate Time-Series

I. Chen, R. Krishnan, D. Sontag

## Published

Mitigating bias in estimating epidemic severity due toheterogeneity of epidemic on-set and data aggregation

R. Krishnan, S. Cenci, L. Bourouiba

In Press, Annals of Epidemiology, 2021

Neural Pharmacodynamic State Space Modeling

(Code) (Data)

Z. Hussain*, R. Krishnan*, D. Sontag

International Conference on Machine Learning (ICML), 2021

(*: equal contribution)

Max-Margin learning with the Bayes factor

R. Krishnan, A. Khandelwal, R. Ranganath, D. Sontag

Uncertainty in Artificial Intelligence (UAI), 2018

Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics

E. Lehman, R. Krishnan, X.Zhao, R. Mark, L. Lehman

Machine Learning for Healthcare (MLHC), 2018

Variational Autoencoders for Collaborative Filtering
(Code)

D. Liang, R. Krishnan, M. Hoffman, T. Jebara

World Wide Web Conference (WWW), 2018

On the challenges of learning with inference networks on sparse, high-dimensional data

(Code)

R. Krishnan, D. Liang, M. Hoffman

Artificial Intelligence and Statistics (AISTATS), 2018

Inference and Introspection in Deep Generative Models of Sparse Non-Negative Data

R. Krishnan, M. Hoffman

Advances in Approximate Bayesian Inference & Black Box Inference (AABI) Workshop, Neural Information Processing Systems, 2016

Structured Inference Networks for Nonlinear State Space Models

(Code)

R. Krishnan, U. Shalit, D. Sontag

Association for the Advancement of Artificial Intelligence (AAAI), 2017

Deep Kalman Filters

(Code)

R. Krishnan, U. Shalit, D. Sontag

Advances in Approximate Bayesian Inference & Black Box Inference (AABI) Workshop, Neural Information Processing Systems, 2015

Barrier Frank-Wolfe for Marginal Inference

(Code)

R. Krishnan, S. Lacoste-Julien, D. Sontag

Neural Information Processing Systems (NeurIPS), 2015

Early Detection of Diabetes from Health Claims

R. Krishnan, N. Razavian, Y. Choi, S. Nigam, S. Blecker, A. Schmidt, D. Sontag

Machine Learning in Healthcare Workshop, Neural Information Processing Systems (NeurIPS), 2013