4 citations · 6 across the 2 of their papers we have counts for
3 papers
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training
Abraham J. Fetterman, Ellie Kitanidis, Joshua Albrecht +6
Hyperparameter tuning of deep learning models can lead to order-of-magnitude performance gains for the same amount of compute. Despite this, systematic tuning is uncommon, particul…
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman +8
Despite impressive successes, deep reinforcement learning (RL) systems still fall short of human performance on generalization to new tasks and environments that differ from their…
Regular solutions to the fractional Euler alignment system in the Besov spaces framework
Raphaël Danchin, Piotr B. Mucha, Jan Peszek +1
We here construct (large) local and small global-in-time regular unique solutions to the fractional Euler alignment system in the whole space , in the case where the…