Gatmiry, Khashayar

17 publications

COLT 2025 Computing Optimal Regularizers for Online Linear Optimization Khashayar Gatmiry, Jon Schneider, Stefanie Jegelka
COLT 2025 Learning Mixtures of Gaussians Using Diffusion Models Khashayar Gatmiry, Jonathan Kelner, Holden Lee
ICLR 2025 Rethinking Invariance in In-Context Learning Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang
COLT 2024 Adversarial Online Learning with Temporal Feedback Graphs Khashayar Gatmiry, Jon Schneider
ICML 2024 Can Looped Transformers Learn to Implement Multi-Step Gradient Descent for In-Context Learning? Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi, Stefanie Jegelka, Sanjiv Kumar
AISTATS 2024 EM for Mixture of Linear Regression with Clustered Data Amirhossein Reisizadeh, Khashayar Gatmiry, Asuman Ozdaglar
ICMLW 2024 Rethinking Invariance in In-Context Learning Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang
COLT 2024 Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier Khashayar Gatmiry, Jonathan Kelner, Santosh S. Vempala
ICML 2024 Simplicity Bias via Global Convergence of Sharpness Minimization Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi, Stefanie Jegelka
NeurIPS 2024 What Does Guidance Do? a Fine-Grained Analysis in a Simple Setting Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
JMLR 2023 A Unified Approach to Controlling Implicit Regularization via Mirror Descent Haoyuan Sun, Khashayar Gatmiry, Kwangjun Ahn, Navid Azizan
NeurIPS 2023 Projection-Free Online Convex Optimization via Efficient Newton Iterations Khashayar Gatmiry, Zak Mhammedi
COLT 2023 Quasi-Newton Steps for Efficient Online Exp-Concave Optimization Zakaria Mhammedi, Khashayar Gatmiry
NeurIPS 2023 What Is the Inductive Bias of Flatness Regularization? a Study of Deep Matrix Factorization Models Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank Reddi, Stefanie Jegelka, Ching-Yao Chuang
NeurIPS 2022 On the Generalization of Learning Algorithms That Do Not Converge Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka
ICLR 2022 Optimization and Adaptive Generalization of Three Layer Neural Networks Khashayar Gatmiry, Stefanie Jegelka, Jonathan Kelner
NeurIPS 2020 Testing Determinantal Point Processes Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka