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Shreyas Havaldar

Google Research

ml: adversarial learning & robustness

ml: bias and fairness

ml: domain adaptation and multi-task learning

1

presentations

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SHORT BIO

Shreyas Havaldar is a Pre-Doctoral Researcher at Google Research in the Advertising Sciences team, mentored by Dr. Aravindan Raghuveer, Dr. Karthikeyan Shanmugam and Dr. Rishi Saket. His work focuses on developing fair algorithms, especially under distribution shifts and developing scalable models for learning from aggregate data and studying privacy afforded by such aggregations. He aspires to build an impactful research career focused on five foundational pillars: Privacy, Fairness, Interpretability, Robustness, Explainability for AI/ML Algorithms; for creating systems that are accountable, accessible, equitable and inclusive.

Presentations

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar and 4 other authors

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