Edward Moroshko

According to our database, Edward Moroshko authored at least 15 papers between 2013 and 2023.

Collaborative distances:

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

2023

Continual Learning in Linear Classification on Separable Data.

Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry

Proceedings of the International Conference on Machine Learning, 2023

2022

Finite Sample Analysis Of Dynamic Regression Parameter Learning.

Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How catastrophic can catastrophic forgetting be in linear regression?

Itay Evron, Edward Moroshko, Rachel A. Ward, Nathan Srebro, Daniel Soudry

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent.

Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy.

Edward Moroshko, Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Nati Srebro, Daniel Soudry

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel and Rich Regimes in Overparametrized Models.

Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro

Proceedings of the Conference on Learning Theory, 2020

2019

Variance Estimation For Online Regression via Spectrum Thresholding.

Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer

CoRR, 2019

An Editorial Network for Enhanced Document Summarization.

Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki

CoRR, 2019

2018

Multi Instance Learning For Unbalanced Data.

Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer

CoRR, 2018

Efficient Loss-Based Decoding on Graphs for Extreme Classification.

Itay Evron, Edward Moroshko, Koby Crammer

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Online Regression with Controlled Label Noise Rate.

Edward Moroshko, Koby Crammer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2015

Second-order non-stationary online learning for regression.

Edward Moroshko, Nina Vaits, Koby Crammer

J. Mach. Learn. Res., 2015

2014

Weighted last-step min-max algorithm with improved sub-logarithmic regret.

Edward Moroshko, Koby Crammer

Theor. Comput. Sci., 2014

Selective Sampling with Drift.

Edward Moroshko, Koby Crammer

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

A Last-Step Regression Algorithm for Non-Stationary Online Learning.

Edward Moroshko, Koby Crammer

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013