14 citations · 22 across the 3 of their papers we have counts for
4 papers
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
Nithish Kannen, Yao Ma, Gerrit J. J. van den Burg +1
News recommendation is a challenging task that involves personalization based on the interaction history and preferences of each user. Recent works have leveraged the power of pret…
Automatic Termination for Hyperparameter Optimization
Anastasia Makarova, Huibin Shen, Valerio Perrone +5
Bayesian optimization (BO) is a widely popular approach for the hyperparameter optimization (HPO) in machine learning. At its core, BO iteratively evaluates promising configuration…
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone, Huibin Shen, Aida Zolic +12
Tuning complex machine learning systems is challenging. Machine learning typically requires to set hyperparameters, be it regularization, architecture, or optimization parameters,…
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
We introduce a novel type of text representation that preserves the 2D layout of a document. This is achieved by encoding each document page as a two-dimensional grid of characters…