Technology
Using Large Ensembles of Control Variates for Variational Inference
Neural Information Processing Systems http://nips.cc/
Minimax Estimation of Neural Net Distance
Thus, one important question one can ask here is how welldFnn(ˆµn,ˆνm)approximatesdFnn(µ,ν).
ea1818cbe59c23b20f1a10a8aa083a82-Paper.pdf
In this paper, we make the first attempt to study Meta Architecture Search which aims at learning a task-agnostic representation that can be used to speed up the processof architecture search on alarge number of tasks.
Tracr: Compiled Transformers as a Laboratory for Interpretability David Lindner
We show how to "compile" human-readable programs into standard decoder-only transformer models.
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman Alghunaim, Kun Yuan, Ali H. Sayed
Neural Information Processing Systems http://nips.cc/
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Mathieu Fehr, Olivier Buffet, Vincent Thomas, Jilles Dibangoye
Neural Information Processing Systems http://nips.cc/
