I am a 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.
I have had the pleasure of interning at Microsoft Research, New York City (June-Sept. 2016) and Redmond (May-Aug. 2015), working with Miroslav Dudík, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan, and with Ofer Dekel, respectively.
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.
Oracle-Efficient Learning and Auction Design
By Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, and Jennifer Wortman Vaughan.
Working paper, last update Nov 2016 [arXiv:1611.01688].
Opting Into Optimal Matchings
By Avrim Blum, Ioannis Caragiannis, Nika Haghtalab, Ariel D. Procaccia, Eviatar B. Procaccia, and Rohit Vaish.
SODA 2017: Proc. 28th annual ACM-SIAM Symposium on Discrete Algorithms, 2017 (forthcoming) [paper].
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