Fedor Zhdanov

According to our database, Fedor Zhdanov authored at least 16 papers between 2009 and 2024.

Collaborative distances:

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

2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

2022

Exploiting Invariance in Training Deep Neural Networks.

Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications.

Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Diverse mini-batch Active Learning.

Fedor Zhdanov

CoRR, 2019

2013

An identity for kernel ridge regression.

Fedor Zhdanov, Yuri Kalnishkan

Theor. Comput. Sci., 2013

2012

Universal Algorithms for Probability Forecasting.

Fedor Zhdanov, Yuri Kalnishkan

Int. J. Artif. Intell. Tools, 2012

2011

Theory and applications of competitive prediction.

Fedor Zhdanov

PhD thesis, 2011

2010

Supermartingales in prediction with expert advice.

Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk

Theor. Comput. Sci., 2010

Aggregating Algorithm competing with Banach lattices

Fedor Zhdanov, Alexey V. Chernov, Yuri Kalnishkan

CoRR, 2010

Competitive Online Generalized Linear Regression under Square Loss.

Fedor Zhdanov, Vladimir Vovk

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Linear Probability Forecasting.

Fedor Zhdanov, Yuri Kalnishkan

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Prediction with Expert Advice under Discounted Loss.

Alexey V. Chernov, Fedor Zhdanov

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009

Prediction With Expert Advice For The Brier Game.

Vladimir Vovk, Fedor Zhdanov

J. Mach. Learn. Res., 2009

Competing with Gaussian linear experts

Fedor Zhdanov, Vladimir Vovk

CoRR, 2009

Online Prediction of Ovarian Cancer.

Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman

Proceedings of the Artificial Intelligence in Medicine, 2009