Graduate Alumni
2019
Greg Darnell
Adviser: Barbara EngelhardtDegree: PhD, 2019
Fanghong Dong
Adviser: Yoram SingerDegree: MA, 2019
2018
Nikunj Umesh Saunshi
Adviser: Arora, SanjeevDegree: PhD, 2022
Degree: MSE, 2018 , Thesis: On the Connections between Compressed Sensing, Learning and Natural Language Representations
KatieAnna Wolf
Adviser: Fiebrink, RebeccaDegree: PhD, 2018 , Thesis: Methods for Personalized Design of Data Sonification
Claudia Roberts
Adviser: Narayanan, ArvindDegree: PhD, 2023
Degree: MSE, 2018 , Thesis: QUANTIFYING THE EXTENT TO WHICH POPULAR PRE-TRAINED CONVOLUTIONAL NEURAL NETWORKS IMPLICITLY LEARN HIGH-LEVEL PROTECTED ATTRIBUTES
Linpeng Tang
Adviser: Li, KaiDegree: PhD, 2018 , Thesis: Efficient Processing and Delivery of Multimedia Data
Mark Martinez
Adviser: Funkhouser, ThomasDegree: MSE, 2018 , Thesis: Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars
Andrej Risteski
Adviser: Arora, SanjeevDegree: PhD, 2018 , Thesis: Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications
Pranjit Kalita
Adviser: Funkhouser, ThomasDegree: MSE, 2018 , Thesis: A No-Regret Framework For Deriving Optimal Strategies With Emphasis On Trading In Electronic Markets
Qizhe Cai
Adviser: Rexford, JenniferDegree: MSE, 2018 , Thesis: Network-Wide Heavy-Hitter Detection for Real-Time Telemetry
Yonatan Naamad
Adviser: Charikar, MosesDegree: PhD, 2018 , Thesis: Hardness from Densest Subgraph Conjectures
Huiwen Chang
Adviser: Finkelstein, AdamDegree: PhD, 2018 , Thesis: PERSONAL PHOTO ENHANCEMENT
Degree: MA, 2016
Tengyu Ma
Adviser: Arora, SanjeevDegree: PhD, 2018 , Thesis: Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding
