Adversarial Laws of Large Numbers and Optimal Regret in Online Classification

no code implementations • 22 Jan 2021 • Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev

Laws of large numbers guarantee that given a large enough sample from some population, the measure of any fixed sub-population is well-estimated by its frequency in the sample.

General Classification Open-Ended Question Answering +1

CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations

no code implementations • 1 Nov 2016 • Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz

In Recommender Systems research, algorithms are often characterized as either Collaborative Filtering (CF) or Content Based (CB).

Collaborative Filtering Recommendation Systems