Master's Theses & Technical Reports - Laurent El Ghaoui
5th Year M.S.
Towards Efficient and Robust Out-of-Distribution Deep Learning with Implicit Models
Ashwin Ganesh [2023]
Robust Naive Bayes
Aditya Mishra [2021]
Lifted Recurrent Neural Networks
Rajiv Sambharya [2018]
Deep Factor Graphs for Bayesian Prediction of High-Dimensional Games
Alon Daks [2017]
Solving the Cox Proportional Hazards Model and Its Applications
Jessica Ko [2017]
M.S.
Approximation bounds for sparse programs
Armin Askari [2021]
Multi-Vehicle Collision Avoidance via Hamilton-Jacobi Reachability and Integer Linear Programming
Chia-Yin Shih [2021]
Implicit Structures for Graph Neural Networks
Fangda Gu [2020]
Fitting Nonconvex Biomechanics Energy Functions
Ahmed Bakhaty [2017]