Benoit Steiner
10 papers · 2016–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(7)
👥
Mega-Team
(22)
🗃️
Keyword Collector
(52)
📈
Trend Setter
💎
Century Club
(10)
🚀
Conference Pioneer
Conferences
ICML (6)
NIPS (2)
ICLR (1)
OSDI (1)
Top co-authors
Research topics
Keywords
integer linear programming
(2)
integer linear program
(2)
combinatorial optimization
(2)
reinforcement learning
(1)
black-box optimization
(1)
function approximation
(1)
path planning
(1)
deep learning
(1)
distributed computing
(1)
automatic differentiation
(1)
deep learning training
(1)
gradient-based method
(1)
model-based reinforcement learning
(1)
reward function
(1)
space partitioning
(1)
distributed training
(1)
policy learning
(1)
deep neural network
(1)
surrogate model
(1)
neural network training
(1)
Papers
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
MODeL: Memory Optimizations for Deep Learning
ICML 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
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
NIPS 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
NIPS 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