Konstantin Shmakov

According to our database, Konstantin Shmakov authored at least 10 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Robust Inverse Retrieval in Online Advertising with Contrastive Learning.

Phaniram Sayapaneni, Konstantin Shmakov, Sunil Goda

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment.

Zhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Bid Optimization for Offsite Display Ad Campaigns on eCommerce.

Hangjian Li, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee, Wei Shen

CoRR, 2023

Robust Consensus Clustering and its Applications for Advertising Forecasting.

Deguang Kong, Miao Lu, Konstantin Shmakov, Jian Yang

CoRR, 2023

2022

Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes.

Deguang Kong, Konstantin Shmakov, Jian Yang

CoRR, 2022

Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

CoRR, 2022

2018

An Inflection Point Approach for Advertising Bid Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Demystifying Advertising Campaign for CPA Goal Optimization.

Deguang Kong, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Combinational Optimization Approach for Advertising Budget Allocation.

Deguang Kong, Xiannian Fan, Konstantin Shmakov, Jian Yang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2016

Stratified Sampling Meets Machine Learning.

Edo Liberty, Kevin J. Lang, Konstantin Shmakov

Proceedings of the 33nd International Conference on Machine Learning, 2016