Deepak Vijaykeerthy

3 papers · 2020–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

AAAI (1) CVPR (1) UAI (1)

Top co-authors

Gregory Bramble (1) Alexander Gray (1) Anindya Sarkar (1) Dakuo Wang (1) Andrew Conn (1) Parikshit Ram (1) Horst Samulowitz (1) Sijia Liu (1) Vineeth N Balasubramanian (1) Philips George John (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (2) Optimization & Theory · Machine Learning (2) Application Areas (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

algorithmic fairness (1) concept-based explanation (1) black-box optimization (1) hyperparameter optimization (1) self-supervised learning (1) explainable ai (1) deep learning (1) machine learning fairness (1) mixed integer programming (1) concept learning (1) linear classifier (1) alternating direction method of multiplier (1) mixed-integer optimization (1) machine learning model (1) individual fairness (1) fairness verification (1) automated machine learning (1) pipeline optimization (1) explainable model (1) kernelized classifier (1)

Papers

A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020 Verifying Individual Fairness in Machine Learning Models UAI 2020