Basu, Amitabh

6 publications

NeurIPS 2025 Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming Hongyu Cheng, Amitabh Basu

ICML 2024 A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-Order Oracles Phillip Kerger, Marco Molinaro, Hongyi Jiang, Amitabh Basu

NeurIPS 2024 Learning Cut Generating Functions for Integer Programming Hongyu Cheng, Amitabh Basu

NeurIPS 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz, Amitabh Basu

NeurIPS 2021 Towards Lower Bounds on the Depth of ReLU Neural Networks Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella

ICLR 2018 Understanding Deep Neural Networks with Rectified Linear Units Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee