Search Results for author:
Found 3 papers, 0 papers with code
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
Recent work has shown that energy-based language modeling is an effective framework for controllable text generation because it enables flexible integration of arbitrary discriminators.
Assessing Out-of-Domain Language Model Performance from Few Examples
We address the task of predicting out-of-domain (OOD) performance in a few-shot fashion: given a few target-domain examples and a set of models with similar training performance, can we understand how these models will perform on OOD test data?
A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization
ARC methods are a relatively new family of optimization strategies that utilize a cubic-regularization (CR) term in place of trust-regions and line-searches.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
