Andrei Semenov

According to our database, Andrei Semenov authored at least 15 papers between 1998 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing LLM Training via Spectral Clipping.

Xiaowen Jiang, Andrei Semenov, Sebastian U. Stich

CoRR, March, 2026

2025

Benchmarking Optimizers for Large Language Model Pretraining.

Andrei Semenov, Matteo Pagliardini, Martin Jaggi

CoRR, September, 2025

Gradient-Normalized Smoothness for Optimization with Approximate Hessians.

Andrei Semenov, Martin Jaggi, Nikita Doikov

CoRR, June, 2025

Sign Operator for Coping with Heavy-Tailed Noise: High Probability Convergence Bounds with Extensions to Distributed Optimization and Comparison Oracle.

Nikita Kornilov, Philip Zmushko, Andrei Semenov, Alexander V. Gasnikov, Aleksandr Beznosikov

CoRR, February, 2025

eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion.

Daria Tikhonovich, Nikita Zelinskiy, Aleksandr V. Petrov, Mayya Spirina, Andrei Semenov, Andrey V. Savchenko, Sergei Kuliev

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed.

Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horváth, Martin Takác, Eduard Gorbunov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning.

Andrei Semenov, Philip Zmushko, Alexander Pichugin, Aleksandr Beznosikov

CoRR, 2024

Mixed Newton Method for Optimization in Complex Spaces.

Nikita Yudin, Roland Hildebrand, Sergey Bakhurin, Alexander Degtyarev, Anna Lisachenko, Ilya A. Kuruzov, Andrei Semenov, Mohammad S. Alkousa

CoRR, 2024

Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed.

Saveliy Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horváth, Martin Takác, Eduard Gorbunov

CoRR, 2024

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning.

Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov, Alexander V. Gasnikov

CoRR, 2024

Jump-Based Backup: An Efficient Data Backup.

Alla Levina, Andrei Semenov

Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

2023

Wartime Media Monitor (WarMM-2022): A Study of Information Manipulation on Russian Social Media during the Russia-Ukraine War.

Maxim Alyukov, Maria Kunilovskaya, Andrei Semenov

Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2023

2008

Testing the random walk hypothesis through robust estimation of correlation.

Andrei Semenov

Comput. Stat. Data Anal., 2008

2003

The Institutional Design of Open Source Programming: Implications for Addressing Complex Public Policy and Management Problems.

Charles M. Schweik, Andrei Semenov

First Monday, 2003

1998

Visual Basic Representations An Atlas.

Eugene Plotkin, Andrei Semenov, Nikolai Vavilov

Int. J. Algebra Comput., 1998