Nikolay Laptev

25 papers A* 8B 2Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
AutoSteer: Learned Query Optimization for Any SQL Database.
Proc. VLDB Endow.
Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus
2023 J jnl
QO-Insight: Inspecting Steered Query Optimizers.
Proc. VLDB Endow.
Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper
2021 J jnl
NeuralProphet: Explainable Forecasting at Scale.
CoRR
Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
2020 J jnl
Digital Psychological Platform for Mass Web-Surveys.
Data
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
2020 J jnl
Privacy at Facebook Scale.
CoRR
Paulo Tanaka, Sameet Sapra, Nikolay Laptev
2019 J jnl
AR-Net: A simple Auto-Regressive Neural Network for time-series.
CoRR
Oskar Triebe, Nikolay Laptev, Ram Rajagopal
2019 J jnl
Probabilistic Modeling of Computing Demand for Service Level Agreement.
IEEE Trans. Serv. Comput.
Saahil Shenoy, Dimitry Gorinevsky, Nikolay Laptev
2017 — conf
Deep and Confident Prediction for Time Series at Uber.
ICDM Workshops
Lingxue Zhu, Nikolay Laptev
2017 Misc conf
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.
FLAIRS
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
2017 J jnl
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem.
CoRR
Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev
2017 J jnl
Rank-to-engage: New Listwise Approaches to Maximize Engagement.
CoRR
Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad
2016 B conf
DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution.
EDBT
Xiaokui Shu, Nikolay Laptev, Danfeng Yao
2016 A* conf
DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution.
AAAI
Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao
2016 — ch.
Extending Relational Query Languages for Data Streams.
Data Stream Management
Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo
2015 A* conf
Generic and Scalable Framework for Automated Time-series Anomaly Detection.
KDD
Nikolay Laptev, Saeed Amizadeh, Ian Flint
2015 A* conf
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series.
AAAI
George D. Montañez, Saeed Amizadeh, Nikolay Laptev
2015 — conf
Large-Scale Unusual Time Series Detection.
ICDM Workshops
Rob J. Hyndman, Earo Wang, Nikolay Laptev
2014 A* conf
Stock trade volume prediction with Yahoo Finance user browsing behavior.
ICDE
Ilaria Bordino, Nicolas Kourtellis, Nikolay Laptev, Youssef Billawala
2013 A* conf
Very fast estimation for result and accuracy of big data analytics: The EARL system.
ICDE
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 J jnl
Early Accurate Results for Advanced Analytics on MapReduce
CoRR
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 J jnl
Early Accurate Results for Advanced Analytics on MapReduce.
Proc. VLDB Endow.
Nikolay Laptev, Kai Zeng, Carlo Zaniolo
2012 A* conf
Optimization of Massive Pattern Queries by Dynamic Configuration Morphing.
ICDE
Nikolay Laptev, Carlo Zaniolo
2011 A* conf
SMM: A data stream management system for knowledge discovery.
ICDE
Hetal Thakkar, Nikolay Laptev, Hamid Mousavi, Barzan Mozafari, Vincenzo Russo, Carlo Zaniolo
2009 B conf
Architectural optimization of decomposition algorithms for wireless communication systems.
WCNC
Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner
2009 A* conf
Xquasher: a tool for efficient computation of multiple linear expressions.
DAC
Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan Fallah, Ryan Kastner