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29 Results

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Workshop
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson · Chris Lu · Louis Kirsch · Robert Lange · Shimon Whiteson · Jakob Foerster
Workshop
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding · Masrour Zoghi · Guy Tennenholtz · Maryam Karimzadehgan
Poster
Wed 15:00 Online Control for Meta-optimization
Xinyi Chen · Elad Hazan
Workshop
Associative Memories with Heavy-Tailed Data
Vivien Cabannes · Elvis Dohmatob · Alberto Bietti
Poster
Wed 15:00 Optimistic Meta-Gradients
Sebastian Flennerhag · Tom Zahavy · Brendan O'Donoghue · Hado van Hasselt · András György · Satinder Singh
Poster
Tue 8:45 Optimal testing using combined test statistics across independent studies
Lasse Vuursteen · Botond Szabo · Aad van der Vaart · Harry van Zanten
Poster
Thu 8:45 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
Alexandre Maraval · Matthieu Zimmer · Antoine Grosnit · Haitham Bou Ammar
Workshop
Continually Adapting Optimizers Improve Meta-Generalization
Wenyi Wang · Louis Kirsch · Francesco Faccio · Mingchen Zhuge · Jürgen Schmidhuber
Poster
Wed 8:45 Federated Conditional Stochastic Optimization
Xidong Wu · Jianhui Sun · Zhengmian Hu · Junyi Li · Aidong Zhang · Heng Huang
Workshop
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn
Workshop
Continually Adapting Optimizers Improve Meta-Generalization
Wenyi Wang · Louis Kirsch · Francesco Faccio · Mingchen Zhuge · Jürgen Schmidhuber
Poster
Thu 8:45 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Arman Zharmagambetov · Brandon Amos · Aaron Ferber · Aaron Ferber · Taoan Huang · Bistra Dilkina · Yuandong Tian