Markov, Ilia

7 publications

ICLRW 2025 Cheap and Effective Personalization of Foundation Language Models for Imitating a User's Writing Style Armand Mihai Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir N Shavit, Dan Alistarh

ICML 2025 Layer-Wise Quantization for Quantized Optimistic Dual Averaging Anh Duc Nguyen, Ilia Markov, Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher

ICLR 2025 Wasserstein Distances, Neuronal Entanglement, and Sparsity Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir N Shavit

NeurIPSW 2024 Layer-Wise Quantization for Distributed Variational Inequalities Anh Duc Nguyen, Ilia Markov, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher

ICML 2023 Quantized Distributed Training of Large Models with Convergence Guarantees Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh

AAAI 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh

NeurIPS 2020 Adaptive Gradient Quantization for Data-Parallel SGD Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya