Abhishek Sharma
PhD Student, Harvard University
abhisheksharma [AT] g.harvard.edu
Bio
I am a 2nd year Ph.D. student in the Data to Actionable Knowledge (DTaK) lab at Harvard University where I'm advised by Finale Doshi-Velez. My research interest lie in probabilistic machine learning and decision-focused modeling, and my methods are strongly motivated by applications in healthcare. These interests allow me take ideas from Optimization, Probabilistic Graphical Models, Reinforcement Learning and apply to important social problems. Before coming to Harvard, I got my M.S. in Computer Science from University of Massachusetts, Amherst and my B.Tech. in Engineering from IIT Madras.
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
On Learning Prediction-Focused Mixtures
Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Finale Doshi-Velez
ArXiv, October 2021.
Prediction-focused Mixture Models
Sanjana Narayanan‡, Abhishek Sharma‡, Catherine Zeng, Finale Doshi-Velez
ITR3: Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, ICML, June 2021.
Rate of Change Analysis for Interestingness Measures
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
KAIS: Knowledge and Information Systems, March 2019
Reinforcement Learning with a Network of Spiking Agents
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
Real Neurons & Hidden Units Workshop, NeurIPS, December 2019
Generative Sequential Stochastic Model for Marked Point Processes
Abhishek Sharma‡ , Aritra Ghosh‡ , Madalina Fiterau
Time Series Workshop, ICML, June 2019
On Learning Prediction-Focused Mixtures
Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Finale Doshi-Velez
ArXiv, October 2021.
Rate of Change Analysis for Interestingness Measures
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
KAIS: Knowledge and Information Systems, March 2019
Prediction-focused Mixture Models
Sanjana Narayanan‡, Abhishek Sharma‡, Catherine Zeng, Finale Doshi-Velez
ITR3: Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, ICML, June 2021.
Reinforcement Learning with a Network of Spiking Agents
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
Real Neurons & Hidden Units Workshop, NeurIPS, December 2019
Generative Sequential Stochastic Model for Marked Point Processes
Abhishek Sharma‡ , Aritra Ghosh‡ , Madalina Fiterau
Time Series Workshop, ICML, June 2019
Vitæ
Full Resume in PDF.
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Harvard 2020 - nowPhD Student
DTaK Lab, Computer Science -
UMass Amherst 2018 - 2020M.S. Student
Computer Science -
Qualcomm Summer 2019Machine Learning Engineer, Intern
Engineering -
IIT Madras 2017 - 2018Research Associate
Research and Consulting
Machine Learning and Operations Research -
Blaffer 2016 - 2017Co-founder, CEO
Built Virtual Reality Walk-throughs -
IIT Madras 2011 - 2016Dual Degree Student (B.Tech. and M.Tech.)
Engineering -
Sony Summer 2013R&D Engineer, Intern
Vital Sensing Department