About

I am a fifth-year Ph.D. student in Computer Science at Stanford University, advised by Percy Liang. I am interested in fair, robust, and reliable machine learning. In the past, I have also worked on natural language processing.

Before joining Stanford I did my Masters at CSAIL MIT supervised by Martin Rinard and my B.Sc. in Computer Engineering at Sharif University of Technology.

 

I’m looking for full-time research positions in the industry, CV.

 

Publications

 

Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately, Fereshte Khani, Percy Liang, ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2021 [code][blog post]

In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness, Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang, International Conference on Learning Representations (ICLR) 2021

Feature Noise Induces Loss Discrepancy Across Groups, Fereshte Khani, Percy Liang, International Conference in Machine Learning (ICML), 2020 [slides][code][video][blog post]

Maximum Weighted Loss Discrepancy, Fereshte Khani, Aditi Raghunathan, Percy Liang. Safe Machine Learning workshop at the International Conference on Learning Representation (ICLR), 2019. [slides][poster][code]

Planning, Inference, and Pragmatics in Sequential Language Games, Fereshte Khani, Noah D. Goodman, Percy Liang. Transactions of the Association for Computational Linguistics (TACL), 2018. [slides][code][dataset]

Unanimous prediction for 100% precision with application to learning semantic mappings, Fereshte Khani, Martin Rinard, Percy Liang. Association for Computational Linguistics (ACL), 2016. [poster][code]

Learning precise partial semantic mappings via linear algebra, Fereshte Khani. Master thesis, Massachusetts Institute of Technology, 2016.

 An algorithm for discovering clusters of different densities or shapes in noisy data sets, Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy. ACM Symposium on Applied Computing (ACM-SAC), 2013.

 

Honors and Awards

 

Enhancing Diversity in Graduate Education (EDGE) Doctoral Fellowship, 2016-present.

Ranked 3rd in the Asia Regional ACM-ICPC Contest, Iran, 2010.

Silver Medal in International Olympiad in Informatics (IOI) 2009, Plovdiv, Bulgaria.

Selected as a national scientific elite and the recipient of the grant for undergraduate studies from the Iranian National Elites Foundation, for outstanding academic success, 2009 - 2013.

Gold Medal in Iranian National Olympiad in Informatics (INOI), 2008.

 

Teaching

 

Growing up in a small town in Iran made me passionate about helping underprivileged girls. I carried out this passion by teaching IOI materials to high school girls in my hometown and in other cities from 2007 to 2013.

I have been a teaching assistant for Machine Learning (summer, fall, 2020) at Stanford University, and for Data Structure (2011), Artificial Intelligence (2011), and Design of Algorithm (2012) at Sharif University of Technology.

 

Contact

 

Address: G-256, Gates Computer Science, 353 Serra Mall, Stanford, CA 94305

Email: fereshte@stanford.edu

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