Sotabase

Career

· Research Intern, Meta AI2022–2022
· Intern, Microsoft2021–2021
· Visiting Graduate Student, Theory of Reinforcement Learning Program, Simons Institute, University of California Berkeley2020–
· Research Intern, IBM Research2019–2019
· Ph.D. Student, Computer Science, Mila - Quebec AI Institute & McGill University2018–2025
· Master of Science (M.S.), Statistics, Stanford University2018–
· Applied Deep Learning Research Intern, NVIDIA2017–2017
· Research Assistant, Quantitative Imaging Lab, Stanford University2017–2017
· Intern, Silicon Studio2016–2016
· Bachelor of Science (B.S.), Mathematical and Computational Science, Stanford University2016–
· Research Assistant, Mobilize Center, Stanford University2016–2016
· Intern, Verizon Labs2015–2015
· Research Assistant, Salzman Lab, Stanford School of Medicine2014–2014

Publications (25)

30
cited
14
cited
9
cited
Heuristics for Interpretable Knowledge Graph Contextualization
arXiv.org · 2019
8
cited
TVAE : Deep Metric Learning Approach for Variational Autoencoder
2017
8
cited
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
International Conference on Machine Learning · 2021
2
cited
Optimistic Actor-Critic with Parametric Policies: Unifying Sample Efficiency and Practicality
1
cited
Randomized Least Squares Policy Optimization
2021
TVAE: TRIPLET-BASED VARIATIONAL AUTOEN-
2018
Sotabase
Haque Ishfaq | Researcher Profile | Sotabase | Sotabase