Panahi, Ashkan

11 publications

AISTATS 2025 A Novel Convex Gaussian Min Max Theorem for Repeated Features David Bosch, Ashkan Panahi

AISTATS 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs Firooz Shahriari-Mehr, Ashkan Panahi

NeurIPS 2025 Subgraph Federated Learning via Spectral Methods Javad Aliakbari, Johan Östman, Ashkan Panahi, Alexandre Graell i Amat

COLT 2023 Precise Asymptotic Analysis of Deep Random Feature Models David Bosch, Ashkan Panahi, Babak Hassibi

AISTATS 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves David Bosch, Ashkan Panahi, Ayca Ozcelikkale, Devdatt Dubhashi

ICML 2023 Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi, Hamid Krim

AAAI 2023 Sharing Pattern Submodels for Prediction with Missing Values Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson

ICCVW 2019 Sparse Generative Adversarial Network Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim

WACV 2018 Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai

NeurIPS 2017 A Universal Analysis of Large-Scale Regularized Least Squares Solutions Ashkan Panahi, Babak Hassibi

ICML 2017 Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya