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ORCIDEdward Moroshko
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2020 – today
- 2023
[c11]Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry:
Continual Learning in Linear Classification on Separable Data. ICML 2023: 9440-9484- [i13]Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry:
Continual Learning in Linear Classification on Separable Data. CoRR abs/2306.03534 (2023) - 2022
- [c10]Itay Evron, Edward Moroshko, Rachel A. Ward, Nathan Srebro, Daniel Soudry:
How catastrophic can catastrophic forgetting be in linear regression? COLT 2022: 4028-4079 - [c9]Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer:
Finite Sample Analysis Of Dynamic Regression Parameter Learning. NeurIPS 2022 - [i12]Itay Evron, Edward Moroshko, Rachel A. Ward, Nati Srebro, Daniel Soudry:
How catastrophic can catastrophic forgetting be in linear regression? CoRR abs/2205.09588 (2022) - 2021
- [c8]Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry:
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. ICML 2021: 468-477 - [i11]Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry:
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. CoRR abs/2102.09769 (2021) - 2020
- [c7]Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro:
Kernel and Rich Regimes in Overparametrized Models. COLT 2020: 3635-3673 - [c6]Edward Moroshko, Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Nati Srebro, Daniel Soudry:
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy. NeurIPS 2020 - [i10]Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro:
Kernel and Rich Regimes in Overparametrized Models. CoRR abs/2002.09277 (2020) - [i9]Edward Moroshko, Suriya Gunasekar, Blake E. Woodworth, Jason D. Lee, Nathan Srebro, Daniel Soudry:
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy. CoRR abs/2007.06738 (2020)
2010 – 2019
- 2019
- [i8]Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki:
An Editorial Network for Enhanced Document Summarization. CoRR abs/1902.10360 (2019) - [i7]Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer:
Variance Estimation For Online Regression via Spectrum Thresholding. CoRR abs/1906.05591 (2019) - 2018
- [c5]Itay Evron, Edward Moroshko, Koby Crammer:
Efficient Loss-Based Decoding on Graphs for Extreme Classification. NeurIPS 2018: 7233-7244 - [i6]Itay Evron, Edward Moroshko, Koby Crammer:
Efficient Loss-Based Decoding On Graphs For Extreme Classification. CoRR abs/1803.03319 (2018) - [i5]Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer:
Multi Instance Learning For Unbalanced Data. CoRR abs/1812.07010 (2018) - 2017
- [c4]Edward Moroshko, Koby Crammer:
Online Regression with Controlled Label Noise Rate. ECML/PKDD (2) 2017: 355-369 - 2015
- [j2]Edward Moroshko, Nina Vaits, Koby Crammer:
Second-order non-stationary online learning for regression. J. Mach. Learn. Res. 16: 1481-1517 (2015) - 2014
- [j1]Edward Moroshko, Koby Crammer:
Weighted last-step min-max algorithm with improved sub-logarithmic regret. Theor. Comput. Sci. 558: 107-124 (2014) - [c3]Edward Moroshko, Koby Crammer:
Selective Sampling with Drift. AISTATS 2014: 651-659 - [i4]Edward Moroshko, Koby Crammer:
Selective Sampling with Drift. CoRR abs/1402.4084 (2014) - 2013
- [c2]Edward Moroshko, Koby Crammer:
A Last-Step Regression Algorithm for Non-Stationary Online Learning. AISTATS 2013: 451-462 - [i3]Edward Moroshko, Koby Crammer:
Weighted Last-Step Min-Max Algorithm with Improved Sub-Logarithmic Regret. CoRR abs/1301.6058 (2013) - [i2]Nina Vaits, Edward Moroshko, Koby Crammer:
Second-Order Non-Stationary Online Learning for Regression. CoRR abs/1303.0140 (2013) - [i1]Edward Moroshko, Koby Crammer:
A Last-Step Regression Algorithm for Non-Stationary Online Learning. CoRR abs/1303.3754 (2013) - 2012
- [c1]Edward Moroshko, Koby Crammer:
Weighted Last-Step Min-Max Algorithm with Improved Sub-logarithmic Regret. ALT 2012: 245-259
Coauthor Index
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