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9 papers · 1 filter
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis +1
We study the problem of off-policy evaluation (OPE) in Reinforcement Learning (RL), where the aim is to estimate the performance of a new policy given historical data that may have…
The Featureless Transmission Spectra of Two Super-Puff Planets
Jessica E. Libby-Roberts, Zachory K. Berta-Thompson, Jean-Michel Desert +9
The Kepler mission revealed a class of planets known as ''super-puffs,'' with masses only a few times larger than Earth's but radii larger than Neptune, giving them very low mean d…
Markov Random Fields for Collaborative Filtering
Harald Steck
In this paper, we model the dependencies among the items that are recommended to a user in a collaborative-filtering problem via a Gaussian Markov Random Field (MRF). We build upon…
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
The use of norms has largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used to assess…
Lick Observatory Supernova Search Follow-Up Program: Photometry Data Release of 93 Type Ia Supernovae
Benjamin E. Stahl, WeiKang Zheng, Thomas de Jaeger +52
We present BVRI and unfiltered light curves of 93 Type Ia supernovae (SNe Ia) from the Lick Observatory Supernova Search (LOSS) follow-up program conducted between 2005 and 2018. O…
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
In VP9 video codec, the sizes of blocks are decided during encoding by recursively partitioning 6464 superblocks using rate-distortion optimization (RDO). This process is c…