Ivan Nazarov

25 papers A* 1B 1C 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Driven Approach to Capitation Reform in Rwanda.
CoRR
Babaniyi Yusuf Olaniyi, Ina Kalisa, Ana Fernández del Río, Jean Marie Vianney Hakizayezu, Enric Jané, Eniola Olaleye, Juan Francisco Garamendi, Ivan Nazarov, Aditya Rastogi, Mateo Diaz-Quiroz, África Periáñez, Regis Hitimana
2025 J jnl
From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance.
CoRR
Jiamin Xu, Ivan Nazarov, Aditya Rastogi, África Periáñez, Kyra Gan
2024 J jnl
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services.
CoRR
Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez
2024 J jnl
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx.
CoRR
Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez
2024 J jnl
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings.
CoRR
África Periáñez, Kathrin Schmitz, Lazola Makhupula, Moiz Hassan Khan, Moeti Moleko, Ana Fernández del Río, Ivan Nazarov, Aditya Rastogi, Dexian Tang
2024 J jnl
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems.
CoRR
África Periáñez, Ana Fernández del Río, Ivan Nazarov, Enric Jané, Moiz Hassan, Aditya Rastogi, Dexian Tang
2022 — conf
CoLES: Contrastive Learning for Event Sequences with Self-Supervision.
SIGMOD Conference
Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin
2022 J jnl
Insights From the NeurIPS 2021 NetHack Challenge.
CoRR
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2022 J jnl
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
IEEE J. Sel. Top. Signal Process.
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
2021 — conf
Insights From the NeurIPS 2021 NetHack Challenge.
NeurIPS (Competition and Demos)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021 J jnl
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough.
CoRR
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
2020 J jnl
Bayesian Sparsification Methods for Deep Complex-valued Networks.
CoRR
Ivan Nazarov, Evgeny Burnaev
2020 A* conf
Bayesian Sparsification of Deep C-valued Networks.
ICML
Ivan Nazarov, Evgeny Burnaev
2020 J jnl
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting.
CoRR
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
2019 C conf
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components.
ICMLA
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev
2019 — conf
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.
ISNN (1)
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019 J jnl
Demand forecasting techniques for build-to-order lean manufacturing supply chains.
CoRR
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019 C conf
Steganographic generative adversarial networks.
ICMV
Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev
2019 B conf
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.
DSAA
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
2018 J jnl
Sparse Group Inductive Matrix Completion.
CoRR
Ivan Nazarov, Boris Shirokikh, Maria Burkina, Gennady Fedonin, Maxim Panov
2017 — conf
Conformal
COPA
Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov
2017 J jnl
Conformal k-NN Anomaly Detector for Univariate Data Streams.
CoRR
Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev
2017 J jnl
Steganographic Generative Adversarial Networks.
CoRR
Denis Volkhonskiy, Ivan Nazarov, Boris Borisenko, Evgeny Burnaev
2016 C conf
Conformalized Kernel Ridge Regression.
ICMLA
Evgeny Burnaev, Ivan Nazarov
2016 J jnl
Conformalized Kernel Ridge Regression.
CoRR
Evgeny Burnaev, Ivan Nazarov