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Richa Rastogi[Google Scholar] |
Hi! I'am a Computer Science PhD Student at Cornell University and I'am very fortunate to be advised by Professor Thorsten Joachims.
My research interests lie at the intersection of machine learning, optimization and algorithms. Specifically, I work on questions relating to dynamics, uncertainties and fairness in machine learning systems.
Prior to starting PhD, I spent several years working as a Data Scientist at Amazon Advertising and as a Controls Software Engineer at Amazon Fullfillment Technologies,
where I developed software for deployment in production systems and published a patent. Prior to that, I completed a Masters in Industrial Engineering and Operations Research at ISyE, Georgia Tech
and prior to that, a Bachelors of Engineering at Delhi University.
If you're an undergrad or Masters student at Cornell and are interested in working with me, please don't hesitate to reach out! My email is rr568 at cornell dot edu.
News
- Aug 16, 2023: Selected to participate at Machine Learning in Economics Summer Institute '23 , hosted by Chicago Booth.
- Aug 05, 2023: Presented our paper, Fairness in Ranking under Disparate Uncertainty, as a Spotlight (Oral) at UAI workshop on Epistemic AI at CMU, Pittsburgh! We introduce Equal-Opportunity Ranking (EOR) as a new fairness criterion for ranking that provably reduces the group unfairness induced when the uncertainty of the underlying relevance model differs between groups of candidates.
- Jan 20, 2023: Our paper, Semi-Parametric Inducing Point Networks and Neural Processes, is accepted at ICLR 2023! We introduce semi-parametric inducing point networks (SPIN), a general-purpose architecture that can query the training set at inference time in a compute-efficient manner.
- Aug 31, 2021: Our Patent filed on behalf of Amazon is granted by USPTO! It describes a closed loop feedback dynamical system with online updates for accurately positioning labels on moving packages.
Selected Papers
My full list of papers and patents are here.
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Fair Ranking under Disparate Uncertainty
Richa Rastogi, Thorsten Joachims. Spotlight (Oral) at UAI Workshop on Epistemic AI, 2023 code |
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Semi-Parametric Inducing Point Networks and Neural Processes
Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R Sabuncu, Volodymyr Kuleshov. ICLR 2023 code |