EF
Evgeny Frolov
cs.LGcs.IRcs.AIstat.MLcs.CLcs.HCcs.CRcs.NAmath.NA
On Valency
published · living versionsW_5yem3vg9·v1 · currentpublished
Separating Thinking from Spelling for Efficient Generative Recommendation
with Danil Gusak, Anna Volodkevich, Ivan Oseledets
1 version
Preprints & journals
34 papers in the corpus · 2016–2026A Redundancy Reduction Approach for Controllable Sequential Recommendations2609.23849v1 · Veronika Ivanova, Marina Munkhoeva, Ivan Razvorotnev et al.2026 · 0 citationsarXiv
Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression2609.02451v1 · Viacheslav Yusupov, Daria Cherniuk, Evgeny Frolov2026 · 0 citationsarXiv
Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies2606.07492v1 · Ekaterina Grishina, Stepan Kuznetsov, Askar Tsyganov et al.2026 · 0 citationsarXiv
Cross-Representation Knowledge Transfer for Improved Sequential Recommendations2602.23471v1 · Artur Gimranov, Viacheslav Yusupov, Elfat Sabitov et al.2026 · 0 citationsarXiv
Position-Aware Sequential Attention for Accurate Next Item Recommendations2602.21052v1 · Timur Nabiev, Evgeny Frolov2026 · 0 citationsarXiv
SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits2602.19339v1 · Anna Volodkevich, Dmitry Anikin, Danil Gusak et al.2026 · 5 citationsarXiv
Barlow Twins for Sequential Recommendation2510.26407v1 · Ivan Razvorotnev, Marina Munkhoeva, Evgeny Frolov2025 · 0 citationsarXiv
Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces2510.19349v2 · Evgenia Shustova, Marina Sheshukova, Sergey Samsonov et al.2025 · 0 citationsarXiv
CoRoVA: Compressed Representations for Vector-Augmented Code Completion2510.19644v2 · Daria Cherniuk, Nikita Sukhorukov, Danil Gusak et al.2025 · 0 citationsarXiv
Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers2509.15113v2 · Andrei Chertkov, Artem Basharin, Mikhail Saygin et al.2025 · 0 citationsarXiv
Ultra Fast Warm Start Solution for Graph Recommendations2509.01549v1 · Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov2025 · 0 citationsarXiv
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models2508.21106v1 · Tatyana Matveeva, Aleksandr Katrutsa, Evgeny Frolov2025 · 0 citationsarXiv
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns2508.14786v1 · Veronika Ivanova, Evgeny Frolov, Alexey Vasilev2025 · 0 citationsarXiv
Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations2508.11978v1 · Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov2025 · 0 citationsarXiv
Recommendation Is a Dish Better Served Warm2508.07856v1 · Danil Gusak, Nikita Sukhorukov, Evgeny Frolov2025 · 5 citationsarXiv
Maximum Impact with Fewer Features: Efficient Feature Selection for Cold-Start Recommenders through Collaborative Importance Weighting2508.06455v1 · Nikita Sukhorukov, Danil Gusak, Evgeny Frolov2025 · 1 citationarXiv
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation2508.04444v2 · Askar Tsyganov, Evgeny Frolov, Sergey Samsonov et al.2025 · 0 citationsarXiv
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders2507.16289v1 · Danil Gusak, Anna Volodkevich, Anton Klenitskiy et al.2025 · 21 citationsarXiv
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models2505.17974v2 · Viktoriia Chekalina, Daniil Moskovskiy, Tatiana Matveeva et al.2025 · 0 citationsarXiv
Knowledge Graph Completion with Mixed Geometry Tensor Factorization2504.02589v1 · Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov2025 · 0 citationsarXiv
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs2409.18721v2 · Gleb Mezentsev, Danil Gusak, Ivan Oseledets et al.2024 · 17 citationsarXiv
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders2408.02354v3 · Danil Gusak, Gleb Mezentsev, Ivan Oseledets et al.2024 · 9 citationsarXiv
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations2403.00895v3 · Vladimir Baikalov, Evgeny Frolov2024 · 5 citationsarXiv
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems2312.10064v1 · Albert Saiapin, Ivan Oseledets, Evgeny Frolov2023 · 0 citationsarXiv
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction2303.04744v1 · Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky et al.2023 · 4 citationsarXiv
Mitigating Human and Computer Opinion Fraud via Contrastive Learning2301.03025v1 · Yuliya Tukmacheva, Ivan Oseledets, Evgeny Frolov2023 · 1 citationarXiv
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations2212.05720v1 · Evgeny Frolov, Ivan Oseledets2022 · 5 citationsarXiv
Tensor-based Collaborative Filtering With Smooth Ratings Scale2205.05070v1 · Nikita Marin, Elizaveta Makhneva, Maria Lysyuk et al.2022 · 0 citationsarXiv
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks2205.04490v2 · Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll et al.2022 · 2 citationsarXiv
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering2204.10629v2 · Viktoriia Chekalina, Anton Razzhigaev, Albert Sayapin et al.2022 · 11 citationsarXiv
Dynamic Modeling of User Preferences for Stable Recommendations2104.05047v1 · Oluwafemi Olaleke, Ivan Oseledets, Evgeny Frolov2021 · 7 citationsarXiv
Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge1807.10634v1 · Evgeny Frolov, Ivan Oseledets2018 · 0 citationsarXiv
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks1607.04228v1 · Evgeny Frolov, Ivan Oseledets2016 · 24 citationsarXiv
Tensor Methods and Recommender Systems1603.06038v2 · Evgeny Frolov, Ivan Oseledets2016 · 119 citationsarXiv
Career total: 49 works. 34 are in this corpus.
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