Shahin Boluki - RankMe

22 papers A* 2A 3C 1Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. IEEE Trans. Artif. Intell. Shahin Boluki, Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian
2022	J	`jnl`	Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing. CoRR Ravi Kumar, Shahin Boluki, Karl Isler, Jonas Rauch, Darius Walczak
2022	A	`conf`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022	J	`jnl`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2021	J	`jnl`	Optimal Bayesian supervised domain adaptation for RNA sequencing data. Bioinform. Shahin Boluki, Xiaoning Qian, Edward R. Dougherty
2020	Misc	`conf`	Arsm Gradient Estimator for Supervised Learning to Rank. ICASSP Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian
2020	A*	`conf`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	A	`conf`	Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2020	J	`jnl`	Learnable Bernoulli Dropout for Bayesian Deep Learning. CoRR Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2020	A*	`conf`	NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
2020	J	`jnl`	NADS: Neural Architecture Distribution Search for Uncertainty Awareness. CoRR Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
2020	A	`conf`	Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. UAI Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
2020	J	`jnl`	Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. CoRR Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	ARSM Gradient Estimator for Supervised Learning to Rank. CoRR Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty
2019	J	`jnl`	Experimental Design via Generalized Mean Objective Cost of Uncertainty. IEEE Access Shahin Boluki, Xiaoning Qian, Edward R. Dougherty
2019	J	`jnl`	Optimal Clustering with Missing Values. CoRR Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty
2019	J	`jnl`	Optimal clustering with missing values. BMC Bioinform. Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty
2018	—	`conf`	Optimal Clustering with Missing Values. BCB Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty
2017	J	`jnl`	Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinform. Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty
2014	C	`conf`	Offensive Positioning Based on Maximum Weighted Bipartite Matching and Voronoi Diagram. RoboCup Mohammadhossein Malmir, Shahin Boluki, Saeed Shiry Ghidary