ResearchTrend.AI
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models

Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models

A. Shtoff
Yair Koren
ArXivPDFHTML

Papers citing "Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models"

5 / 5 papers shown
Title
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
M. Aharon
Yohay Kaplan
Rina Levy
O. Somekh
Ayelet Blanc
Neetai Eshel
Avi Shahar
Assaf Singer
Alex Zlotnik
25
20
0
08 Dec 2023
Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
Hilal Asi
John C. Duchi
124
125
0
12 Oct 2018
Stochastic model-based minimization of weakly convex functions
Stochastic model-based minimization of weakly convex functions
Damek Davis
Dmitriy Drusvyatskiy
78
377
0
17 Mar 2018
Online Compact Convexified Factorization Machine
Online Compact Convexified Factorization Machine
Wenpeng Zhang
Xiao Lin
P. Zhao
106
16
0
05 Feb 2018
OFF-Set: One-pass Factorization of Feature Sets for Online Recommendation in Persistent Cold Start Settings
OFF-Set: One-pass Factorization of Feature Sets for Online Recommendation in Persistent Cold Start Settings
M. Aharon
N. Aizenberg
Edward Bortnikov
R. Lempel
Roi Adadi
Tomer Benyamini
Liron Levin
R. Roth
Ohad Serfaty
OffRL
49
33
0
08 Aug 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.