Kshitij Khare

11 papers A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Recurrence and transience of a Markov chain on $\mathbb Z$ J. Appl. Probab. James P. Hobert, Kshitij Khare
2023	J	`jnl`	A non-parametric approach for estimating consumer valuation distributions using second price auctions. CoRR Sourav Mukherjee, Rohit K. Patra, Kshitij Khare
2023	J	`jnl`	Asynchronous and Distributed Data Augmentation for Massive Data Settings. J. Comput. Graph. Stat. Jiayuan Zhou, Kshitij Khare, Sanvesh Srivastava
2022	J	`jnl`	A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Stat. Comput. Srijata Samanta, Kshitij Khare, George Michailidis
2020	J	`jnl`	Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors. J. Multivar. Anal. Xuan Cao, Kshitij Khare, Malay Ghosh
2019	J	`jnl`	A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data. Mach. Learn. Kshitij Khare, Sang-Yun Oh, Syed Rahman, Bala Rajaratnam
2017	A	`conf`	Generalized Pseudolikelihood Methods for Inverse Covariance Estimation. AISTATS Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam
2014	J	`jnl`	Asymptotic expansion of the posterior density in high dimensional generalized linear models. J. Multivar. Anal. Shibasish Dasgupta, Kshitij Khare, Malay Ghosh
2014	—	`conf`	Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. NIPS Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam
2014	J	`jnl`	Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. CoRR Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam
2012	J	`jnl`	Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression. J. Multivar. Anal. Kshitij Khare, James P. Hobert