Eriksson, Brian

1. Matroid Bandits: Fast Combinatorial Optimization with Learning
   2014/03/20 by Branislav Kveton, Kveton, Branislav, Zheng Wen +7 · 13 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Systems and Control (eess.SY) #electronic engineering #information engineering
2. Wide Compression: Tensor Ring Nets
   2018/02/25 by Wenqi Wang, Wang, Wenqi, Yifan Sun +7 · 10 citations
   Mathematics · Computer Science · #Tensor decomposition and applications #Advanced Neural Network Applications #Parallel Computing and Optimization Techniques
3. Deep Unsupervised Clustering Using Mixture of Autoencoders
   2017/12/21 by Dejiao Zhang, Zhang, Dejiao, Yifan Sun +5 · 7 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Face and Expression Recognition #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. High-Rank Matrix Completion and Subspace Clustering with Missing Data
   2011/12/23 by Eriksson, Brian, Balzano, Laura, Nowak, Robert · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Learning Latent Variable Gaussian Graphical Models
   2014/06/10 by Zhaoshi Meng, Brian Eriksson, Meng, Zhaoshi +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)