output
20192021
most citedPredicting Different Types of Conversions with Multi-Task Learning in Online Advertising

38 citations

8 papers

cs.LG2021★ 3 cited

What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models

Yifan Hu, Changwei Hu, Thanh Tran +3

Gender information is no longer a mandatory input when registering for an account at many leading Internet companies. However, prediction of demographic information such as gender…

cs.CY2020★ 21 cited

Mobile Apps for Foot Measurement: A Scoping Review

Muhammad Ashad Kabir, Sowmen Rahman, Mohammad Mainul Islam +2

With the proliferation of smart phone, a major growth in the use of apps related to the health category, specifically those concerned with foot health can be observed. Although new…

cs.GT2020★ 23 cited

Bid Shading in The Brave New World of First-Price Auctions

Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty +4

Online auctions play a central role in online advertising, and are one of the main reasons for the industry's scalability and growth. With great changes in how auctions are being o…

cs.CL2020★ 7 cited

A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection

Tian Shi, Liuqing Li, Ping Wang +1

Unsupervised aspect detection (UAD) aims at automatically extracting interpretable aspects and identifying aspect-specific segments (such as sentences) from online reviews. However…

cs.HC2020★ 2 cited

Learning Daily Calorie Intake Standard using a Mobile Game

Anik Das, Sumaiya Amin, Muhammad Ashad Kabir +2

Mobile games can contribute to learning at greater success. In this paper, we have developed and evaluated a novel educational game, named FoodCalorie, to learn the food calorie in…

physics.ins-det2019★ 13 cited

Broadband, millimeter-wave antireflection coatings for large-format, cryogenic aluminum oxide optics

A. Nadolski, J. D. Vieira, J. A. Sobrin +86

We present two prescriptions for broadband (~77 - 252 GHz), millimeter-wave antireflection coatings for cryogenic, sintered polycrystalline aluminum oxide optics: one for large-for…

cs.LG2019★ 38 cited

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz +2

Conversion prediction plays an important role in online advertising since Cost-Per-Action (CPA) has become one of the primary campaign performance objectives in the industry. Unlik…

math.OC2019★ 25 cited

Distributed Constrained Online Learning

Santiago Paternain, Soomin Lee, Michael M. Zavlanos +1

In this paper, we consider groups of agents in a network that select actions in order to satisfy a set of constraints that vary arbitrarily over time and minimize a time-varying fu…