Andrei Kulunchakov

According to our database, Andrei Kulunchakov authored at least 5 papers between 2019 and 2020.

Collaborative distances:

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

2020

Stochastic optimization for large-scale machine learning: variance reduction and acceleration. (Optimisation stochastique pour l'apprentissage machine à grande échelle: réduction de la variance et accélération).

Andrei Kulunchakov

PhD thesis, 2020

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise.

Andrei Kulunchakov, Julien Mairal

J. Mach. Learn. Res., 2020

Sparse recovery by reduced variance stochastic approximation.

Anatoli B. Juditsky, Andrei Kulunchakov, Hlib Tsyntseus

CoRR, 2020

2019

A Generic Acceleration Framework for Stochastic Composite Optimization.

Andrei Kulunchakov, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Estimate Sequences for Variance-Reduced Stochastic Composite Optimization.

Andrei Kulunchakov, Julien Mairal

Proceedings of the 36th International Conference on Machine Learning, 2019