Haeffele, Benjamin David

8 publications

AISTATS 2025 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks Uday Kiran Reddy Tadipatri, Benjamin David Haeffele, Joshua Agterberg, Rene Vidal

ICLR 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele

ICLR 2024 Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, Yi Ma

ICML 2024 Performance Bounds for Active Binary Testing with Information Maximization Aditya Chattopadhyay, Benjamin David Haeffele, Rene Vidal, Donald Geman

ICML 2023 Learning Globally Smooth Functions on Manifolds Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro

ICLR 2023 Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, Rene Vidal

ICLR 2022 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension Paris Giampouras, Benjamin David Haeffele, Rene Vidal

ICLR 2021 A Critique of Self-Expressive Deep Subspace Clustering Benjamin David Haeffele, Chong You, Rene Vidal