Running Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks 🎯 Explore code, traces, and workspace in an interactive logbook
JG1310/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces Traces • Updated Aug 2 • 54
Running Reproduction: Flatness-Aware Stochastic Gradient Langevin Dynamics 🎯 Track and view ML experiment logs and traces
Running Reproduction: Flatness-Aware Stochastic Gradient Langevin Dynamics 🎯 Track and view ML experiment logs and traces
Running Reproduction: Deep sequence models tend to memorize geometrically; it is unclear why 🎯 Explore and manage code logs, traces, and workspace
Running Reproduction: Deep sequence models tend to memorize geometrically; it is unclear why 🎯 Explore and manage code logs, traces, and workspace
Running Reproduction: Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors 🎯 Explore code logs, traces, and workspace with an interactive UI
Running Reproduction: Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks 🎯 Explore project logs, traces, and workspace in an interactive logbook
Running Reproduction: Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks 🎯 Explore project logs, traces, and workspace in an interactive logbook
Running Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks 🎯 Explore code, traces, and workspace in an interactive logbook
JG1310/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces Traces • Updated Aug 2 • 54