A Last-Step Regression Algorithm for Non-Stationary Online Learning. - Edward Moroshko; Koby Crammer (AISTATS, 2013)

Selective Sampling with Drift. - Edward Moroshko; Koby Crammer (AISTATS, 2014)

Weighted last-step min-max algorithm with improved sub-logarithmic regret. - Edward Moroshko; Koby Crammer (Theor. Comput. Sci., 2014)

Second-order non-stationary online learning for regression. - Edward Moroshko; Nina Vaits; Koby Crammer (J. Mach. Learn. Res., 2015)

Online Regression with Controlled Label Noise Rate. - Edward Moroshko; Koby Crammer (ECML/PKDD (2), 2017)

Efficient Loss-Based Decoding on Graphs for Extreme Classification. - Itay Evron; Edward Moroshko; Koby Crammer (NeurIPS, 2018)

Multi Instance Learning For Unbalanced Data. - Mark Kozdoba; Edward Moroshko; Lior Shani; Takuya Takagi; Takashi Katoh; Shie Mannor; Koby Crammer (CoRR, 2018)

An Editorial Network for Enhanced Document Summarization. - Edward Moroshko; Guy Feigenblat; Haggai Roitman; David Konopnicki (CoRR, 2019)

Variance Estimation For Online Regression via Spectrum Thresholding. - Mark Kozdoba; Edward Moroshko; Shie Mannor; Koby Crammer (CoRR, 2019)

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 (COLT, 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 (NeurIPS, 2020)

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 (ICML, 2021)

How catastrophic can catastrophic forgetting be in linear regression? - Itay Evron; Edward Moroshko; Rachel A. Ward; Nathan Srebro; Daniel Soudry (COLT, 2022)

Finite Sample Analysis Of Dynamic Regression Parameter Learning. - Mark Kozdoba; Edward Moroshko; Shie Mannor; Yacov Crammer (NeurIPS, 2022)

Continual Learning in Linear Classification on Separable Data. - Itay Evron; Edward Moroshko; Gon Buzaglo; Maroun Khriesh; Badea Marjieh; Nathan Srebro; Daniel Soudry (ICML, 2023)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. - Yuyang Xue; Edward Moroshko; Feng Chen; Steven McDonagh 001; Sotirios A. Tsaftaris (CoRR, 2025)

A Shift in Perspective on Causality in Domain Generalization. - Damian Machlanski; Stephanie Riley; Edward Moroshko; Kurt Butler; Panagiotis Dimitrakopoulos; Thomas Melistas; Akchunya Chanchal; Steven McDonagh 001; Ricardo Silva; Sotirios A. Tsaftaris (CoRR, 2025)