The Implicit Bias of Gradient Descent on Separable Data. - Daniel Soudry; Elad Hoffer; Mor Shpigel Nacson; Nathan Srebro (ICLR (Poster), 2018)

Convergence of Gradient Descent on Separable Data. - Mor Shpigel Nacson; Jason D. Lee; Suriya Gunasekar; Nathan Srebro; Daniel Soudry (CoRR, 2018)

The Implicit Bias of Gradient Descent on Separable Data. - Daniel Soudry; Elad Hoffer; Mor Shpigel Nacson; Suriya Gunasekar; Nathan Srebro (J. Mach. Learn. Res., 2018)

Convergence of Gradient Descent on Separable Data. - Mor Shpigel Nacson; Jason D. Lee; Suriya Gunasekar; Pedro Henrique Pamplona Savarese; Nathan Srebro; Daniel Soudry (AISTATS, 2019)

Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate. - Mor Shpigel Nacson; Nathan Srebro; Daniel Soudry (AISTATS, 2019)

Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. - Mor Shpigel Nacson; Suriya Gunasekar; Jason D. Lee; Nathan Srebro; Daniel Soudry (ICML, 2019)

At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? - Niv Giladi; Mor Shpigel Nacson; Elad Hoffer; Daniel Soudry (ICLR, 2020)

TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. - Rami Ben-Ari; Mor Shpigel Nacson; Ophir Azulai; Udi Barzelay; Daniel Rotman (CVPR Workshops, 2021)

On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. - Shahar Azulay; Edward Moroshko; Mor Shpigel Nacson; Blake E. Woodworth; Nathan Srebro; Amir Globerson; Daniel Soudry (ICML, 2021)

Implicit Bias of the Step Size in Linear Diagonal Neural Networks. - Mor Shpigel Nacson; Kavya Ravichandran; Nathan Srebro; Daniel Soudry (ICML, 2022)

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks. - Mor Shpigel Nacson; Rotem Mulayoff; Greg Ongie; Tomer Michaeli; Daniel Soudry (ICLR, 2023)

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond. - Itai Kreisler; Mor Shpigel Nacson; Daniel Soudry; Yair Carmon (ICML, 2023)

How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers. - Gon Buzaglo; Itamar Harel; Mor Shpigel Nacson; Alon Brutzkus; Nathan Srebro; Daniel Soudry (ICML, 2024)

DocVLM: Make Your VLM an Efficient Reader. - Mor Shpigel Nacson; Aviad Aberdam; Roy Ganz; Elad Ben-Avraham; Alona Golts; Yair Kittenplon; Shai Mazor; Ron Litman (CVPR, 2025)