Edward Moroshko
12 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(10)
🏆
Keyword Champion
💎
Century Club
(11)
❓
The Questioner
🔥
Unstoppable
(6)
📈
Trend Setter
Conferences
NIPS (3)
AISTATS (2)
COLT (2)
ICML (2)
ALT (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
linear regression
(3)
implicit bia
(3)
continual learning
(3)
gradient descent
(3)
online learning
(2)
regret bound
(2)
kernel regime
(2)
gradient flow
(2)
non-stationary learning
(2)
initialization scale
(2)
l2 regularization
(1)
linear classification
(1)
selective sampling
(1)
catastrophic forgetting
(1)
learning theory
(1)
multi-label classification
(1)
second-order optimization
(1)
parameter learning
(1)
document summarization
(1)
variance estimation
(1)
Papers
Optimal L2 Regularization in High-dimensional Continual Linear Regression
ALT 2026
Continual Learning in Linear Classification on Separable Data
ICML 2023
How catastrophic can catastrophic forgetting be in linear regression?
COLT 2022
Finite Sample Analysis Of Dynamic Regression Parameter Learning
NIPS 2022
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
Kernel and Rich Regimes in Overparametrized Models
COLT 2020
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NIPS 2020
An Editorial Network for Enhanced Document Summarization
EMNLP 2019
Efficient Loss-Based Decoding on Graphs for Extreme Classification
NIPS 2018
Second-Order Non-Stationary Online Learning for Regression
JMLR 2015
Selective Sampling with Drift
AISTATS 2014
A Last-Step Regression Algorithm for Non-Stationary Online Learning
AISTATS 2013