Nikolay Laptev

According to our database, Nikolay Laptev authored at least 23 papers between 2009 and 2023.

Collaborative distances:

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

2023

AutoSteer: Learned Query Optimization for Any SQL Database.

Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus

Proc. VLDB Endow., 2023

QO-Insight: Inspecting Steered Query Optimizers.

Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper

Proc. VLDB Endow., 2023

2021

NeuralProphet: Explainable Forecasting at Scale.

Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal

CoRR, 2021

2020

Digital Psychological Platform for Mass Web-Surveys.

Evgeny Nikulchev, Dmitry Ilin, Anastasiya Silaeva, Pavel Kolyasnikov, Vladimir Belov, Andrey Runtov, Pavel Pushkin, Nikolay Laptev, Anna Alexeenko, Shamil Magomedov, Alexander Kosenkov, Ilya Zakharov, Victoria Ismatullina, Sergey Malykh

Data, 2020

Privacy at Facebook Scale.

Paulo Tanaka, Sameet Sapra, Nikolay Laptev

CoRR, 2020

2019

Probabilistic Modeling of Computing Demand for Service Level Agreement.

Saahil Shenoy, Dimitry Gorinevsky, Nikolay Laptev

IEEE Trans. Serv. Comput., 2019

AR-Net: A simple Auto-Regressive Neural Network for time-series.

Oskar Triebe, Nikolay Laptev, Ram Rajagopal

CoRR, 2019

2017

Rank-to-engage: New Listwise Approaches to Maximize Engagement.

Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad

CoRR, 2017

Deep and Confident Prediction for Time Series at Uber.

Lingxue Zhu, Nikolay Laptev

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.

Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution.

Xiaokui Shu, Nikolay Laptev, Danfeng Yao

Proceedings of the 19th International Conference on Extending Database Technology, 2016

DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution.

Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Extending Relational Query Languages for Data Streams.

Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo

Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015

Generic and Scalable Framework for Automated Time-series Anomaly Detection.

Nikolay Laptev, Saeed Amizadeh, Ian Flint

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Large-Scale Unusual Time Series Detection.

Rob J. Hyndman, Earo Wang, Nikolay Laptev

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series.

George D. Montañez, Saeed Amizadeh, Nikolay Laptev

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Stock trade volume prediction with Yahoo Finance user browsing behavior.

Ilaria Bordino, Nicolas Kourtellis, Nikolay Laptev, Youssef Billawala

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

Very fast estimation for result and accuracy of big data analytics: The EARL system.

Nikolay Laptev, Kai Zeng, Carlo Zaniolo

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Early Accurate Results for Advanced Analytics on MapReduce.

Nikolay Laptev, Kai Zeng, Carlo Zaniolo

Proc. VLDB Endow., 2012

Optimization of Massive Pattern Queries by Dynamic Configuration Morphing.

Nikolay Laptev, Carlo Zaniolo

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

SMM: A data stream management system for knowledge discovery.

Hetal Thakkar, Nikolay Laptev, Hamid Mousavi, Barzan Mozafari, Vincenzo Russo, Carlo Zaniolo

Proceedings of the 27th International Conference on Data Engineering, 2011

2009

Architectural optimization of decomposition algorithms for wireless communication systems.

Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner

Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Xquasher: a tool for efficient computation of multiple linear expressions.

Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan Fallah, Ryan Kastner

Proceedings of the 46th Design Automation Conference, 2009