Subhodeep Moitra

2 papers · 2019–2021 · 2 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 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

AISTATS (1) NeurIPS (1)

Top co-authors

Zimin Chen (1) Marc G. Bellemare (1) Pierre-antoine Manzagol (1) Pascal Lamblin (1) Nicolas Le Roux (1) Vincent J Hellendoorn (1) Daniel Tarlow (1) Petros Maniatis (1) Pablo Samuel Castro (1)

Research topics

Deep Learning (2) Machine Learning (2) Architectures (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Reinforcement Learning (1) Core AI (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory (1)

Keywords

multi-task learning (1) policy evaluation (1) code generation (1) distributional reinforcement learning (1) value function (1) graph-based learning (1) source code (1) linear function approximation (1) convergence guarantee (1) program repair (1) code representation (1) program understanding (1) cramer distance (1) graph neural network (1)

Papers

PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair NeurIPS 2021 Distributional reinforcement learning with linear function approximation AISTATS 2019