Sheth, Rishit

7 publications

AISTATS 2023 Bayesian Optimization over Iterative Learners with Structured Responses: A Budget-Aware Planning Approach Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi, Rishit Sheth

AISTATS 2021 Direct Loss Minimization for Sparse Gaussian Processes Yadi Wei, Rishit Sheth, Roni Khardon

AISTATS 2020 Differentiable Feature Selection by Discrete Relaxation Rishit Sheth, Nicoló Fusi

NeurIPS 2018 Probabilistic Matrix Factorization for Automated Machine Learning Nicolo Fusi, Rishit Sheth, Melih Elibol

NeurIPS 2017 Excess Risk Bounds for the Bayes Risk Using Variational Inference in Latent Gaussian Models Rishit Sheth, Roni Khardon

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

ICML 2015 Sparse Variational Inference for Generalized GP Models Rishit Sheth, Yuyang Wang, Roni Khardon