Matan Schliserman
6 papers · 2022–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
gradient descent
(2)
separable data
(2)
sample complexity
(2)
stochastic gradient descent
(2)
stochastic convex optimization
(2)
continual learning
(2)
linear classification
(1)
linear convergence
(1)
generalization bound
(1)
risk bound
(1)
implicit bia
(1)
least square
(1)
linear model
(1)
empirical risk minimizer
(1)
dimension dependence
(1)
sequential projection
(1)
forgetting rate
(1)
vector-valued prediction
(1)
homogeneous deep network
(1)
nonconvex projection
(1)
Papers
Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization
ALT 2026
Convergence of Continual Learning in Homogeneous Deep Networks
COLT 2026
From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
ALT 2026
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
ALT 2025
Tight Risk Bounds for Gradient Descent on Separable Data
NeurIPS 2023
Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond
COLT 2022