239 citations · 257 across the 3 of their papers we have counts for
3 papers
math.ST2022★ 4 cited
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
Krishnakumar Balasubramanian, Sinho Chewi, Murat A. Erdogdu +2
For the task of sampling from a density on , where is possibly non-convex but -gradient Lipschitz, we prove that averaged Langevin Monte Ca…
cs.LG2019★ 14 cited
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation
Matthew Shunshi Zhang, Bradly Stadie
Recent advances in the sparse neural network literature have made it possible to prune many large feed forward and convolutional networks with only a small quantity of data. Yet, t…
cs.LG2019★ 239 cited
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang, Xuchan Bao, Ignasi Clavera +7
Model-based reinforcement learning (MBRL) is widely seen as having the potential to be significantly more sample efficient than model-free RL. However, research in model-based RL h…