Schliserman, Matan

8 publications

NeurIPS 2025 Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren

NeurIPS 2025 Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification Matan Schliserman, Tomer Koren

NeurIPS 2025 Optimal Rates in Continual Linear Regression via Increasing Regularization Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Daniel Soudry, Tomer Koren, Itay Evron

ALT 2025 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization Matan Schliserman, Uri Sherman, Tomer Koren

NeurIPSW 2024 Complexity of Vector-Valued Prediction: From Linear Models to Stochastic Convex Optimization Matan Schliserman, Tomer Koren

NeurIPSW 2024 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization Matan Schliserman, Uri Sherman, Tomer Koren

NeurIPS 2023 Tight Risk Bounds for Gradient Descent on Separable Data Matan Schliserman, Tomer Koren

COLT 2022 Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond Matan Schliserman, Tomer Koren