Matan Schliserman

12 papers A* 2B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Better Rates for Random Task Orderings in Continual Linear Models. CoRR Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro
2025	J	`jnl`	Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime. CoRR Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren
2025	J	`jnl`	Flat Minima and Generalization: Insights from Stochastic Convex Optimization. CoRR Matan Schliserman, Shira Vansover-Hager, Tomer Koren
2025	J	`jnl`	Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification. CoRR Matan Schliserman, Tomer Koren
2025	J	`jnl`	Optimal Rates in Continual Linear Regression via Increasing Regularization. CoRR Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Itay Evron
2025	B	`conf`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. ALT Matan Schliserman, Uri Sherman, Tomer Koren
2024	J	`jnl`	Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization. CoRR Matan Schliserman, Tomer Koren
2024	J	`jnl`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. CoRR Matan Schliserman, Uri Sherman, Tomer Koren
2023	A*	`conf`	Tight Risk Bounds for Gradient Descent on Separable Data. NeurIPS Matan Schliserman, Tomer Koren
2023	J	`jnl`	Tight Risk Bounds for Gradient Descent on Separable Data. CoRR Matan Schliserman, Tomer Koren
2022	A*	`conf`	Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond. COLT Matan Schliserman, Tomer Koren
2022	J	`jnl`	Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond. CoRR Matan Schliserman, Tomer Koren