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Benoit Steiner

10 papers · 2016–2023 · 4 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (21) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (55)

Venues

ICML (6) NeurIPS (2) ICLR (1) OSDI (1)

Top co-authors

Yuandong Tian (4) Jeff Dean (2) Aaron M Ferber (2) Mostafa Elhoushi (2) Chris Cummins (2) Quoc V. Le (2) Hieu Pham (2) Bistra Dilkina (2) Azalia Mirhoseini (2) Taoan Huang (2)

Research topics

Machine Learning (9) Optimization & Theory Β· Machine Learning (7) Deep Learning (6) Application Areas (4) Computer Science (3) Reinforcement Learning (3) Artificial Intelligence (2) Mathematics & Optimization (2) Core AI (2) Methods (2) Optimization (2) Optimization & Theory Β· Deep Learning (2) Systems (2) Applications Β· Reinforcement Learning (1) Applications Β· Computer Science (1)

Keywords

combinatorial optimization (2) integer linear program (2) computational graph (2) reinforcement learning (2) heterogeneous environment (2) integer linear programming (2) policy gradient (1) automatic differentiation (1) black-box optimization (1) distributed computing (1) deep learning (1) deep learning training (1) gradient-based method (1) model-based reinforcement learning (1) path planning (1) space partitioning (1) distributed training (1) policy learning (1) reward function (1) hierarchical model (1)

Papers

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023 MODeL: Memory Optimizations for Deep Learning ICML 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Flashlight: Enabling Innovation in Tools for Machine Learning ICML 2022 Learning Space Partitions for Path Planning NeurIPS 2021 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 A Hierarchical Model for Device Placement ICLR 2018 Device Placement Optimization with Reinforcement Learning ICML 2017 TensorFlow: A System for Large-Scale Machine Learning OSDI 2016