Research Topics
- Alternating Minimization
- Big Data
- Bioinformatics
- Bregman Divergence
- Co-Clustering
- Compressed Sensing
- Computer Vision
- Coordinate Descent
- Covariance Estimation
- Crowd Computing
- Data Clustering
- Deep Learning
- Divide-and-Conquer Methods
- Eigenvalue Decomposition
- Empirical Risk Minimization
- Gene-Disease Prediction
- Graph Clustering
- Graphical Models
- Greedy Method
- High-Dimensional Statistics
- Information-Theoretic Analysis
- Kernel Methods
- Learning Theory
- Link Prediction
- Matrix Approximation
- Matrix Completion
- Metric Learning
- Multi-label Learning
- Newton Methods
- Nonnegative Matrix Factorization
- Numerical Linear Algebra
- Online Learning
- Ranking
- Recommender Systems
- Robust Learning
- Signed Networks
- Social Network Analysis
- Spectral Clustering
- Stochastic Gradient Methods
- Support Vector Machines
- Tight Frames
- Topic Models