Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform. - Rishit Sheth; Kenneth E. Barner; Richard P. Schumeyer; Gonzalo R. Arce (J. Electronic Imaging, 2005)

Sparse Variational Inference for Generalized GP Models. - Rishit Sheth; Yuyang Wang; Roni Khardon (ICML, 2015)

A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models. - Rishit Sheth; Roni Khardon (AISTATS, 2016)

Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. - Rishit Sheth; Roni Khardon (NIPS, 2017)

Probabilistic Matrix Factorization for Automated Machine Learning. - Nicoló Fusi; Rishit Sheth; Melih Elibol (NeurIPS, 2018)

Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. - Rishit Sheth; Roni Khardon (AABI, 2019)

Feature Gradients: Scalable Feature Selection via Discrete Relaxation. - Rishit Sheth; Nicoló Fusi (CoRR, 2019)

Differentiable Feature Selection by Discrete Relaxation. - Rishit Sheth; Nicoló Fusi (AISTATS, 2020)

Weighted Meta-Learning. - Diana Cai; Rishit Sheth; Lester Mackey; Nicoló Fusi (CoRR, 2020)

Direct Loss Minimization for Sparse Gaussian Processes. - Yadi Wei; Rishit Sheth; Roni Khardon (AISTATS, 2021)

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. - Syrine Belakaria; Janardhan Rao Doppa; Nicolò Fusi; Rishit Sheth (AISTATS, 2023)