I am a third year Ph.D. student in the Computer Science Department at Carnegie Mellon University. I am interested in problems that lie in the intersection of Machine Learning and Game Theory. I am fortunate to be co-advised by Avrim Blum and Ariel Procaccia.
In summer 2015, I had the pleasure of interning at the Theory and Machine Learning group of Microsoft Research, Redmond, working with Ofer Dekel.
I co-organize the Learning Theory reading group.
You can look at my CV here.
Feb 2016: I won the Microsoft PhD. Fellowship.
Mar 2015: I won the IBM PhD Fellowship.
k-Center Clustering Under Perturbation Resilience
By Maria-Florina Balcan, Nika Haghtalab, Colin White.
ICALP 2016: Proc. International Colloquium on Automata, Languages, and Programming, 2016 [arXiv:1505.03924]
Three Strategies to Success: Learning Adversary Models in Security Games.
By Nika Haghtalab, Fei Fang, Thanh H. Nguyen, Arunesh Sinha, Ariel D. Procaccia, and Milind Tambe.
IJCAI-16: Proc. 25th International Joint Conference on Artificial Intelligence, 2016. [paper]
Monitoring Stealthy Diffusion.
By Nika Haghtalab, Aron Laszka, Ariel D. Procaccia, Yevgeniy Vorobeychik, and Xenofon D. Koutsoukos.
ICDM 2015: Proc. 15th IEEE International Conference on Data Mining, 2015. [paper]
CS 15-859(B) Machine Learning Theory.
CS 15-750 Graduate Algorithms.
CS 15-892 Foundations of Electronic Marketplaces.
CS860, Parameterized and Exact Algorithms.
CS870, Numerical Algorithms and Image Processing.
CS886, Multiagent Systems.
STAT841, Statistical Learning - Classification.
Teaching Assistant for CS15-381, Introduction Artificial Intelligence.
Teaching Assistant for CS485/685, Machine Learning: Statistical & Computational Foundation.
Instructor for MCS4114, Machine Learning at the Baha'i Institute for Higher Education.
Instructional Assistant for CS240, Data Structures and Data Management.
Instructional Assistant for CS234, Data Types and Structures.
Email: nika AT cmu DOT edu
Office: GHC 7001, Carnegie Mellon University
This is my LinkedIn profile