Alexey Zaytsev

106 papers A* 6A 5B 2C 3Misc 3Journal 79Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Complexity-aware fine-tuning. EACL (Findings) Andrey Goncharov, Daniil Vyazhev, Petr Sychev, Edvard A. Khalafyan, Alexey Zaytsev
2026	J	`jnl`	Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing. CoRR Egor Serov, Ilya Kuleshov, Alexey Zaytsev
2026	J	`jnl`	Holistic Uncertainty Estimation for Open-Set Recognition. IEEE Access Leonid Erlygin, Alexey Zaytsev
2026	J	`jnl`	INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation. CoRR Alexandra Bazarova, Andrei V. Sokolov, Daria Kotova, Alexey Zaytsev
2026	J	`jnl`	U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series. CoRR Ilya Kuleshov, Alexander Marusov, Alexey Zaytsev
2025	J	`jnl`	A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. IEEE Access Polina Pilyugina, Timofey Chernikov, Maria Smirnova, Alexey Zaytsev, Alexander Bulkin, Evgeny Burnaev, Ilya S. Belalov, Nazar Sotiriadi, Albert Efimov, Yury Maximov, Oleg Anisimov
2025	A*	`conf`	A Theoretical Framework for Self-Supervised Contrastive Learning for Continuous Dependent Data. ICDM Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev
2025	J	`jnl`	A theoretical framework for self-supervised contrastive learning for continuous dependent data. CoRR Alexander Marusov, Alexander Yuhay, Alexey Zaytsev
2025	J	`jnl`	AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs. CoRR Artem Zabolotnyi, Roman Makarov, Mile Mitrovic, Polina Proskura, Oleg Travkin, Roman Alferov, Alexey Zaytsev
2025	J	`jnl`	Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs. CoRR Rodion Oblovatny, Alexandra Bazarova, Alexey Zaytsev
2025	J	`jnl`	COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution. IEEE Access Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Alexander Stepikin, Artem Zabolotnyi, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan A. Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev
2025	J	`jnl`	Complexity-aware fine-tuning. CoRR Andrey Goncharov, Daniil Vyazhev, Petr Sychev, Edvard A. Khalafyan, Alexey Zaytsev
2025	J	`jnl`	Concealed Adversarial Attacks on Neural Networks for Sequential Data. IEEE Access Petr Sokerin, Dmitry Anikin, Sofia Krehova, Alexey Zaytsev
2025	J	`jnl`	Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs. CoRR Maxim Zhelnin, Dmitry Redko, Volkov Daniil, Anna Volodkevich, Petr Sokerin, Valeriy Shevchenko, Egor Shvetsov, Alexey Vasilev, Darya Denisova, Ruslan Izmailov, Alexey Zaytsev
2025	J	`jnl`	Foundation for unbiased cross-validation of spatio-temporal models for Species Distribution Modeling. Ecol. Informatics Diana Koldasbayeva, Alexey Zaytsev
2025	J	`jnl`	Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling. CoRR Diana Koldasbayeva, Alexey Zaytsev
2025	J	`jnl`	Hallucination Detection in LLMs via Topological Divergence on Attention Graphs. CoRR Alexandra Bazarova, Aleksandr Yugay, Andrey Shulga, Alina Ermilova, Andrei V. Sokolov, Konstantin Polev, Julia Belikova, Rauf Parchiev, Dmitry Simakov, Maxim Savchenko, Andrey V. Savchenko, Serguei Barannikov, Alexey Zaytsev
2025	A	`conf`	Improving Uncertainty Estimation with Confidence-Aware Training Data. WACV Sergey Korchagin, Ekaterina Zaychenkova, Aleksei Khalin, Aleksandr Yugay, Alexey Zaytsev, Egor I. Ershov
2025	J	`jnl`	Language steering in latent space to mitigate unintended code-switching. CoRR Andrey Goncharov, Nikolai Kondusov, Alexey Zaytsev
2025	J	`jnl`	Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. Int. J. Inf. Manag. Data Insights Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev
2025	J	`jnl`	Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision. CoRR Alexander Panyshev, Dmitry Vinichenko, Oleg Travkin, Roman Alferov, Alexey Zaytsev
2025	J	`jnl`	PINE: Pipeline for Important Node Exploration in Attributed Networks. CoRR Elizaveta Kovtun, Maksim Makarenko, Natalia Semenova, Alexey Zaytsev, Semen A. Budennyy
2025	J	`jnl`	Parameter-Efficient Neural CDEs via Implicit Function Jacobians. CoRR Ilya Kuleshov, Alexey Zaytsev
2025	J	`jnl`	Selective Adversarial Attacks on LLM Benchmarks. CoRR Ivan Dubrovsky, Anastasia Orlova, Illarion Iov, Nina Gubina, Irena Gureeva, Alexey Zaytsev
2025	A*	`conf`	WWAggr: A Window Wasserstein-Based Aggregation for Ensemble Change Point Detection. ICDM Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
2025	J	`jnl`	WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection. CoRR Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
2025	J	`jnl`	When an LLM is apprehensive about its answers - and when its uncertainty is justified. CoRR Petr Sychev, Andrey Goncharov, Daniil Vyazhev, Edvard A. Khalafyan, Alexey Zaytsev
2024	B	`conf`	Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting. DSAA Polina Proskura, Alexey Zaytsev
2024	J	`jnl`	COTODE: COntinuous Trajectory neural Ordinary Differential Equations for modelling event sequences. CoRR Ilya Kuleshov, Galina Boeva, Vladislav Zhuzhel, Evgenia Romanenkova, Evgeni Vorsin, Alexey Zaytsev
2024	J	`jnl`	Collusion Detection with Graph Neural Networks. CoRR Lucas Gomes, Jannis Kueck, Mara Mattes, Martin Spindler, Alexey Zaytsev
2024	J	`jnl`	Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis. CoRR Polina Proskura, Alexey Zaytsev
2024	A*	`conf`	From Variability to Stability: Advancing RecSys Benchmarking Practices. KDD Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev
2024	J	`jnl`	From Variability to Stability: Advancing RecSys Benchmarking Practices. CoRR Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev
2024	J	`jnl`	Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition. CoRR Leonid Erlygin, Alexey Zaytsev
2024	A	`conf`	Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention. ECAI Elizaveta Kovtun, Galina Boeva, Andrey Shulga, Alexey Zaytsev
2024	J	`jnl`	Long-term drought prediction using deep neural networks based on geospatial weather data. Environ. Model. Softw. Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
2024	A*	`conf`	Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. ICDM Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev
2024	J	`jnl`	Normalizing self-supervised learning for provably reliable Change Point Detection. CoRR Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev
2024	J	`jnl`	QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. IEEE Access Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
2024	J	`jnl`	Robust Representation Learning via Sparse Attention Mechanism for Similarity Models. IEEE Access Alina Ermilova, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev
2024	Misc	`conf`	Uniting Contrastive and Generative Learning for Event Sequences Models. AIST Aleksandr Yugay, Alexey Zaytsev
2024	J	`jnl`	Uniting contrastive and generative learning for event sequences models. CoRR Aleksandr Yugay, Alexey Zaytsev
2024	J	`jnl`	Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev
2023	J	`jnl`	Challenges in data-based geospatial modeling for environmental research and practice. CoRR Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev
2023	J	`jnl`	Continuous-time convolutions model of event sequences. CoRR Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Artem Zabolotnyi, Alexander Stepikin, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev
2023	J	`jnl`	Correcting sampling biases via importance reweighting for spatial modeling. CoRR Boris Prokhorov, Diana Koldasbayeva, Alexey Zaytsev
2023	J	`jnl`	Hiding Backdoors within Event Sequence Data via Poisoning Attacks. CoRR Elizaveta Kovtun, Alina Ermilova, Dmitry Berestnev, Alexey Zaytsev
2023	J	`jnl`	Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. CoRR Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev
2023	J	`jnl`	Long-term drought prediction using deep neural networks based on geospatial weather data. CoRR Vsevolod Grabar, Alexander Marusov, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
2023	—	`conf`	Machine Translation Models Stand Strong in the Face of Adversarial Attacks. AIST (Supplement) Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev
2023	J	`jnl`	Machine Translation Models Stand Strong in the Face of Adversarial Attacks. CoRR Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev
2023	J	`jnl`	Noncontrastive Representation Learning for Intervals From Well Logs. IEEE Geosci. Remote. Sens. Lett. Alexander Marusov, Alexey Zaytsev
2023	J	`jnl`	Portfolio Selection via Topological Data Analysis. CoRR Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev
2023	C	`conf`	Portfolio selection via topological data analysis. ICMV Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev
2023	A	`conf`	RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. BMVC Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy
2023	J	`jnl`	RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. CoRR Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy
2023	B	`conf`	ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
2023	—	`conf`	Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust. ICDM (Workshops) Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev
2023	J	`jnl`	Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices. CoRR Elizaveta Kostenok, Daniil Cherniavskii, Alexey Zaytsev
2023	J	`jnl`	Uncertainty estimation for time series forecasting via Gaussian process regression surrogates. CoRR Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev
2022	J	`jnl`	A Differentiable Language Model Adversarial Attack on Text Classifiers. IEEE Access Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgenia Komleva, Evgeny Burnaev
2022	J	`jnl`	Deep learning model solves change point detection for multiple change types. CoRR Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
2022	—	`conf`	Effective Training-Time Stacking for Ensembling of Deep Neural Networks. AIPR Polina Proskura, Alexey Zaytsev
2022	J	`jnl`	Effective training-time stacking for ensembling of deep neural networks. CoRR Polina Proscura, Alexey Zaytsev
2022	J	`jnl`	Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
2022	A	`conf`	Embedded Ensembles: infinite width limit and operating regimes. AISTATS Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
2022	A*	`conf`	InDiD: Instant Disorder Detection via a Principled Neural Network. ACM Multimedia Evgenia Romanenkova, Alexander Stepikin, Matvey Morozov, Alexey Zaytsev
2022	J	`jnl`	Non-contrastive approaches to similarity learning: positive examples are all you need. CoRR Alexander Marusov, Valerii Baianov, Alexey Zaytsev
2022	J	`jnl`	Predicting spatial distribution of Palmer Drought Severity Index. CoRR Vsevolod Grabar, Yury Maximov, Alexey Zaytsev
2022	J	`jnl`	QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. CoRR Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
2022	J	`jnl`	Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. IEEE Geosci. Remote. Sens. Lett. Roman Kail, Evgeny Burnaev, Alexey Zaytsev
2022	J	`jnl`	ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
2022	J	`jnl`	Self-supervised similarity models based on well-logging data. CoRR Sergey Egorov, Narek Gevorgyan, Alexey Zaytsev
2022	J	`jnl`	Sequence Embeddings Help Detect Insurance Fraud. IEEE Access Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev
2022	J	`jnl`	Similarity learning for wells based on logging data. CoRR Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov, Nikolay Stulov, Alexey Zaytsev, Leyla S. Ismailova, Dmitry Kovalev, Klemens Katterbauer, Abdallah A. AlShehri
2022	J	`jnl`	Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. CoRR Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev
2022	—	`conf`	Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev
2022	J	`jnl`	Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR Ilya Shashkov, Nikita Balabin, Evgeny Burnaev, Alexey Zaytsev
2022	J	`jnl`	Unsupervised construction of representations for oil wells via Transformers. CoRR Alina Rogulina, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev
2022	J	`jnl`	Usage of specific attention improves change point detection. CoRR Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev
2021	J	`jnl`	A Differentiable Language Model Adversarial Attack on Text Classifiers. CoRR Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev
2021	A*	`conf`	Adversarial Attacks on Deep Models for Financial Transaction Records. KDD Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021	J	`jnl`	Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021	C	`conf`	Bank transactions embeddings help to uncover current macroeconomics. ICMLA Maria Begicheva, Alexey Zaytsev
2021	J	`jnl`	Bank transactions embeddings help to uncover current macroeconomics. CoRR Maria Begicheva, Alexey Zaytsev
2021	J	`jnl`	COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
2021	J	`jnl`	Principled change point detection via representation learning. CoRR Evgenia Romanenkova, Alexey Zaytsev, Ramil Zainulin, Matvey Morozov
2020	J	`jnl`	Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. CoRR Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Eugeny Burnaev
2020	Misc	`conf`	Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. AIST Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
2020	J	`jnl`	Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. CoRR Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
2020	J	`jnl`	Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. IEEE Geosci. Remote. Sens. Lett. Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2020	J	`jnl`	Recurrent Convolutional Neural Networks help to predict location of Earthquakes. CoRR Roman Kail, Alexey Zaytsev, Evgeny Burnaev
2020	Misc	`conf`	Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data. AIST Victoria Snorovikhina, Alexey Zaytsev
2020	J	`jnl`	Unsupervised anomaly detection for discrete sequence healthcare data. CoRR Victoria Snorovikhina, Alexey Zaytsev
2019	J	`jnl`	Failures detection at directional drilling using real-time analogues search. CoRR Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev
2019	J	`jnl`	Multifidelity Bayesian Optimization for Binomial Output. CoRR Leonid Matyushin, Alexey Zaytsev, Oleg Alenkin, Andrey Ustuzhanin
2019	J	`jnl`	Real-time data-driven detection of the rock type alteration during a directional drilling. CoRR Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2019	J	`jnl`	Sequence embeddings help to identify fraudulent cases in healthcare insurance. CoRR Ivan Fursov, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeniy Burnaev
2019	—	`conf`	Usage of Multiple RTL Features for Earthquakes Prediction. ICCSA (1) Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
2019	J	`jnl`	Usage of multiple RTL features for Earthquake prediction. CoRR Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
2018	J	`jnl`	Data-driven model for the identification of the rock type at a drilling bit. CoRR Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev
2018	—	`conf`	Interpolation error of Gaussian process regression for misspecified case. COPA Alexey Zaytsev, Evgenya Romanenkova, Dmitry Ermilov
2017	C	`conf`	Deep Ensembles for Imbalanced Classification. ICMLA Nataliia Kozlovskaia, Alexey Zaytsev
2017	J	`jnl`	Large scale variable fidelity surrogate modeling. Ann. Math. Artif. Intell. Alexey Zaytsev, Evgeny Burnaev
2017	A	`conf`	Minimax Approach to Variable Fidelity Data Interpolation. AISTATS Alexey Zaytsev, Evgeny Burnaev
2016	—	`conf`	Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification. COPA Alexey Zaytsev