Rishit Sheth

13 papers A* 2A 4Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth
2022	J	`jnl`	Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. CoRR Syrine Belakaria, Rishit Sheth, Janardhan Rao Doppa, Nicolò Fusi
2021	A	`conf`	Direct Loss Minimization for Sparse Gaussian Processes. AISTATS Yadi Wei, Rishit Sheth, Roni Khardon
2020	A	`conf`	Differentiable Feature Selection by Discrete Relaxation. AISTATS Rishit Sheth, Nicoló Fusi
2020	J	`jnl`	Direct loss minimization for sparse Gaussian processes. CoRR Yadi Wei, Rishit Sheth, Roni Khardon
2020	J	`jnl`	Weighted Meta-Learning. CoRR Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi
2019	J	`jnl`	Feature Gradients: Scalable Feature Selection via Discrete Relaxation. CoRR Rishit Sheth, Nicoló Fusi
2019	—	`conf`	Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. AABI Rishit Sheth, Roni Khardon
2018	A*	`conf`	Probabilistic Matrix Factorization for Automated Machine Learning. NeurIPS Nicoló Fusi, Rishit Sheth, Melih Elibol
2017	—	`conf`	Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. NIPS Rishit Sheth, Roni Khardon
2016	A	`conf`	A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models. AISTATS Rishit Sheth, Roni Khardon
2015	A*	`conf`	Sparse Variational Inference for Generalized GP Models. ICML Rishit Sheth, Yuyang Wang, Roni Khardon
2005	J	`jnl`	Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform. J. Electronic Imaging Rishit Sheth, Kenneth E. Barner, Richard P. Schumeyer, Gonzalo R. Arce