引用次数
引用: 1,827
H-指数: 13
I10-指数 : 19
出版物: 30
Dirty statistical models
Ali Jalali
2012
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali , Pradeep K. Ravikumar , Christopher C. Johnson
neural information processing systems 24 1935 -1943
117
2011
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Ali Jalali , Pradeep Ravikumar , Christopher C. Johnson
Journal of Machine Learning Research 22 574 -582
60
2012
Low-rank Matrix Recovery from Errors and Erasures
Constantine Caramanis , Sujay Sanghavi , Ali Jalali , Yudong Chen
arXiv: Information Theory
207
2011
A Dirty Model for Multi-task Learning
Sujay Sanghavi , Ali Jalali , Pradeep K. Ravikumar , Chao Ruan
neural information processing systems 23 964 -972
449
2010
On Learning Discrete Graphical Models using Group-Sparse Regularization
Sujay Sanghavi , Vishvas Vasuki , Ali Jalali , Pradeep D. Ravikumar
international conference on artificial intelligence and statistics 378 -387
72
2011
Exploration vs Exploitation in Bayesian Optimization
Xiaoli Z. Fern , Ali Jalali , Javad Azimi
5
2012
Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising
Ali Dasdan , Ali Jalali , Kuang-Chih Lee
arXiv: Computer Science and Game Theory
2013
Greedy dirty models: A new algorithm for multiple sparse regression
Ali Jalali , Sujay Sanghavi
ieee signal processing workshop on statistical signal processing 416 -419
2012
Conferencing on trees
Ali Jalali , David J. Love , Sujay Sanghavi , Bertrand M. Hochwald
conference on information sciences and systems 763 -768
2009
Scalable Audience Reach Estimation in Real-Time Online Advertising
Ali Jalali , Santanu Kolay , Peter Foldes , Ali Dasdan
international conference on data mining 629 -637
3
2013
Closed-form expression for optimal two-user MIMO unitary precoding
Ali Jalali , David Love
IEEE Communications Letters 13 ( 4) 251 -253
6
2009
Clustering using max-norm constrained optimization
Ali Jalali , Nathan Srebro
arXiv preprint arXiv:1202.5598
38
2012
A lipschitz exploration-exploitation scheme for Bayesian optimization
Ali Jalali , Javad Azimi , Xiaoli Fern , Ruofei Zhang
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I 13 210 -224
11
2013
Clustering Partially Observed Graphs via Convex Optimization.
Ali Jalali , Yudong Chen , Sujay Sanghavi , Huan Xu
ICML 11 1001 -1008
82
2011
Learning the dependence graph of time series with latent factors
Ali Jalali , Sujay Sanghavi
arXiv preprint arXiv:1106.1887
60
2011
Hybrid batch Bayesian optimization
Javad Azimi , Ali Jalali , Xiaoli Fern
arXiv preprint arXiv:1202.5597
94
2012
Shredder: Learning Noise Distributions to Protect Inference Privacy
Fatemehsadat Mireshghallah , Mohammadkazem Taram , Prakash Ramrakhyani , Ali Jalali
arXiv: Cryptography and Security
54
2019
A principled approach to learning stochastic representations for privacy in deep neural inference
Fatemehsadat Mireshghallah , Mohammadkazem Taram , Ali Jalali , Ahmed Taha Elthakeb
arXiv preprint arXiv:2003.12154
15
2020
Dynamic bid price selection
Ali Jalali , Ali Dasdan
15
2015