Course projects from Winter, 2018
- Machine Learning, optimization, and parameter estimation
- Distance metric learning for large margin nearest neighbor classification
- ADAM: A method for stochastic optimization
- Polynomial-decay averaging scheme for SGD
- Weighted least squares support vector machines: Robustness and sparse approximation
- Learning social infectivity in sparse low-rank networks using multi-dimensional Hawkes processes
- GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation
- Fast maximum margin matrix factorization for collaborative prediction
- Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
- Sequential subspace optimization method for large-scale unconstrained problems
- Signal and image processing
- Digital and wireless communication
- Optimal energy allocation for wireless communication with energy harvesting constraints
- Framework for link-level energy efficiency optimization with informed transmitter
- Robust beamforming for wireless information and power transmission
- Throughput maximization in wireless powered communication wetworks
- QoS-aware user association for load balancing in heterogeneous cellular networks
- Robutics, stractural design, and automotive
- Electric power and hardware design