Ergen, Tolga

16 publications

ICLR 2024 Scaling Convex Neural Networks with Burer-Monteiro Factorization Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci

NeurIPS 2023 Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci

ICLR 2023 Globally Optimal Training of Neural Networks with Threshold Activation Functions Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci

ICLR 2023 Parallel Deep Neural Networks Have Zero Duality Gap Yifei Wang, Tolga Ergen, Mert Pilanci

NeurIPS 2023 Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks Tolga Ergen, Mert Pilanci

ICLR 2022 Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci

ICLR 2022 Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci

ICML 2022 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers Arda Sahiner, Tolga Ergen, Batu Ozturkler, John Pauly, Morteza Mardani, Mert Pilanci

JMLR 2021 Convex Geometry and Duality of Over-Parameterized Neural Networks Tolga Ergen, Mert Pilanci

ICML 2021 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs Tolga Ergen, Mert Pilanci

NeurIPSW 2021 Greedy Learning for Large-Scale Neural MRI Reconstruction Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci

ICLR 2021 Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time Tolga Ergen, Mert Pilanci

ICML 2021 Revealing the Structure of Deep Neural Networks via Convex Duality Tolga Ergen, Mert Pilanci

ICLR 2021 Vector-Output ReLU Neural Network Problems Are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-Time Algorithms Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci

AISTATS 2020 Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models Tolga Ergen, Mert Pilanci

ICML 2020 Neural Networks Are Convex Regularizers: Exact Polynomial-Time Convex Optimization Formulations for Two-Layer Networks Mert Pilanci, Tolga Ergen