Nikolay Laptev

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 13

Top Topics

Multivariate Time Series

Query Optimizers

Probabilistic Modeling

User Browsing Behavior

Top Venues

Proc. VLDB Endow.

Publications

Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus
AutoSteer: Learned Query Optimization for Any SQL Database. Proc. VLDB Endow. 16 (12) (2023)
Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper
QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. 16 (12) (2023)
Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
NeuralProphet: Explainable Forecasting at Scale. CoRR (2021)
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
Digital Psychological Platform for Mass Web-Surveys. Data 5 (4) (2020)
Paulo Tanaka, Sameet Sapra, Nikolay Laptev
Privacy at Facebook Scale. CoRR (2020)
Oskar Triebe, Nikolay Laptev, Ram Rajagopal
AR-Net: A simple Auto-Regressive Neural Network for time-series. CoRR (2019)
Saahil Shenoy, Dimitry Gorinevsky, Nikolay Laptev
Probabilistic Modeling of Computing Demand for Service Level Agreement. IEEE Trans. Serv. Comput. 12 (6) (2019)
Lingxue Zhu, Nikolay Laptev
Deep and Confident Prediction for Time Series at Uber. ICDM Workshops (2017)
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. FLAIRS Conference (2017)
Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR (2017)
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. CoRR (2017)
Xiaokui Shu, Nikolay Laptev, Danfeng Yao
DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution. EDBT (2016)
Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao
DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution. AAAI (2016)
George D. Montañez, Saeed Amizadeh, Nikolay Laptev
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series. AAAI (2015)
Rob J. Hyndman, Earo Wang, Nikolay Laptev
Large-Scale Unusual Time Series Detection. ICDM Workshops (2015)
Nikolay Laptev, Saeed Amizadeh, Ian Flint
Generic and Scalable Framework for Automated Time-series Anomaly Detection. KDD (2015)
Ilaria Bordino, Nicolas Kourtellis, Nikolay Laptev, Youssef Billawala
Stock trade volume prediction with Yahoo Finance user browsing behavior. ICDE (2014)
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
Very fast estimation for result and accuracy of big data analytics: The EARL system. ICDE (2013)
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
Early Accurate Results for Advanced Analytics on MapReduce CoRR (2012)
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
Early Accurate Results for Advanced Analytics on MapReduce. Proc. VLDB Endow. 5 (10) (2012)
Nikolay Laptev, Carlo Zaniolo
Optimization of Massive Pattern Queries by Dynamic Configuration Morphing. ICDE (2012)
Hetal Thakkar, Nikolay Laptev, Hamid Mousavi, Barzan Mozafari, Vincenzo Russo, Carlo Zaniolo
SMM: A data stream management system for knowledge discovery. ICDE (2011)
Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan Fallah, Ryan Kastner
Xquasher: a tool for efficient computation of multiple linear expressions. DAC (2009)
Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner
Architectural optimization of decomposition algorithms for wireless communication systems. WCNC (2009)