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Workshop
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Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian
Oswin So · Gongjie Li · Evangelos Theodorou · Molei Tao
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Poster
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Wed 9:00
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Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
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Workshop
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Random Features Approximation for Fast Data-Driven Control
Kimia Kazemian · Sarah Dean
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Workshop
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Sat 7:35
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Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
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Workshop
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Data-Driven Computational Imaging for Scientific Discovery
Andrew Olsen · Yolanda Hu · Vidya Ganapati
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Workshop
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Certified data-driven physics-informed greedy auto-encoder simulator
Xiaolong He · Youngsoo Choi · William Fries · Jon Belof · Jiun-Shyan Chen
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Workshop
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Data-driven Acceleration of Quantum Optimization and Machine Learning via Koopman Operator Learning
Di Luo · Jiayu Shen · Rumen Dangovski · Marin Soljacic
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Poster
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Thu 14:00
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Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo · Michael Jordan · Angela Zhou
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Poster
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Wed 14:00
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Provably tuning the ElasticNet across instances
Maria-Florina Balcan · Misha Khodak · Dravyansh Sharma · Ameet Talwalkar
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Poster
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Thu 9:00
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Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
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Workshop
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Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser · Christoph Kern · David Rügamer
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Workshop
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Towards Data-Driven Offline Simulations for Online Reinforcement Learning
Shengpu Tang · Felipe Vieira Frujeri · Dipendra Misra · Alex Lamb · John Langford · Paul Mineiro · Sebastian Kochman
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