I am currently a 3rd year Computer Science PhD student at University of California, Los Angeles, advised by professor Guy Van den Broeck. My research interests include:
| [WangIJCAI21] |
Probabilistic Sufficient Explanations.
Eric Wang, Pasha Khosravi, Guy Van den Broeck. In Proceedings of IJCAI, 2021. |
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| [DangAAAI21] |
Juice: A Julia Package for Logic and Probabilistic Circuits.
Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck. In Proceedings of AAAI Conference (Demo Track), 2021. |
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| [KhosraviNeurIPS19] |
On Tractable Computation of Expected Predictions.
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari and Guy Van den Broeck. In Proceedings of NeurIPS, 2019. |
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| [KhosraviIJCAI19] |
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features.
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck. In Proceedings of IJCAI, 2019. |
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| [KhosraviArtemiss20] |
Handling Missing Data in Decision Trees: A Probabilistic Approach.
Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang and Guy Van den Broeck. In The Art of Learning with Missing Values Workshop at ICML (Artemiss), 2020. |
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| [WangXXAI20] |
Towards Probabilistic Sufficient Explanations.
Eric Wang, Pasha Khosravi, Guy Van den Broeck. In Extending Explainable AI Beyond Deep Models and Classifiers workshop at ICML (XXAI), 2020. |
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Applied Research Data Science Intern, LinkedIn. Upcoming Internship. |
June 2021 - Sep 2021 |
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Research Intern, Snap Inc. Data Insights and Governance |
June 2020 - Sep 2020 |  |
Software Engineering Intern, Facebook Ads Delivery Infastructure |
June 2018 - Sep 2018 |
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Sr. Developer, InfiniGlobe Software development on LAMP Stack |
Oct 2017 - June 2018 |
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Software Engineering Intern, Amazon Aws Lex |
June 2017 - Sep 2017 |
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Technical Consultant, Kiersted Systems |
June 2015 - Sep 2016 |
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Graduate Student Researcher Member of Statistical and Relational Artificial Intelligence Lab (StarAI). |
Prof. Guy Van den Broeck Sep 2018 - Now |
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Undergraduate Research Worked on explaining actions of Reinforcement Learning agents using black-box approaches such as LIME |
Prof. Sameer Singh Aug 2017 - June 2018 |
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Undergraduate Research Worked on algorithm for finding best alignments between multiple biological networks such as Protein-to-Protein networks. |
Prof. Wayne Hayes Jan 2016 - June 2018 |
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ICPC Coach Prepared material for the "ACM Class", the goal of the class was to improve students' problem solving, coding skills, and preparing them for competitions like ACM ICPC. Prepared short lectures and practice problems (twice a week meetings). |
ACM @ UCI Sep 2017 - June 2018 |
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Math Tutor Tutored all lower division math classes including calculus, Linear Algebra, Differential Equations, and Discrete Math |
Irvine Valley College Aug 2014 – May 2015 |
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Juice.jlJuice is a Julia package that offers researchers and practitioners efficient routines to construct, compile, learn and reason with Logic Circuits and Probabilistic Circuits. It provides a wide range of functionality that enable tractable logical and probabilistic reasoning. |
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Naive Conformant Learning (NaCL)Given a logistic regression (LR) model, NaCL learns a Naive Bayes model that conforms to the LR model while maximizing the joint feature likelihood on the dataset. The learned model gives us the ability to handle missing features, while getting benefits of higher accuracy of LR models. |
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Zombie HunterUsed reinforcement learning and deep learning to build a agent to learn to fight zombies in Minecraft (Malmo platform)Project in AI Class (CS 175, Spring 2017, UC Irvine) Project Report Website Thought by Professor Sameer Singh |
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AmadeusExplored different neural network architectures for detecting music genre only using raw music.Deep Learning & Neural Networks (CS 172B, Winter 2018, UC Irvine) Thought by Professor Pierre Baldi. |
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Ranked 56th in ACM ICPC World Finals, May 2017 Ranked 1st in ACM ICPC Southern California Regional, Nov 2016 Ranked 3rd in ACM ICPC Southern California Regional, Nov 2017 |
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Ranked 59th in IEEExtreme 10.0, Oct 2016 (1st in USA) Ranked 24th in IEEExtreme 11.0, Oct 2017 (2nd in USA) |
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Regents' Scholar at UC Irvine.
Most distinguished merit scholarship awarded by the University of California. |
I got my Bachelor's degree in Computer Science from University of California Irvine speciallizing in Intelligent Systems. Before that I finished UC's Transfer Curriculum at Irvine Valley College, also briefly attended Sharif University of Technology.
CS PhD
2018 - 2023
CS BS
2015 - 2018
AA
2013 - 2015
CS
2012 - 2013
