Amitabh Basu

5 papers · 2018–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🚀 Conference Pioneer

Venues

NeurIPS (3) ICLR (1) ICML (1)

Top co-authors

Hongyu Cheng (2) Poorya Mianjy (1) Anirbit Mukherjee (1) Raman Arora (1) Martin Skutella (1) Marco Di Summa (1) Sammy Khalife (1) Phillip Kerger (1) Christoph Hertrich (1) Marco Molinaro (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (3) Optimization (3) Deep Learning (2) Architectures (2) Application Areas (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

neural network (3) function representation (2) sample complexity (2) mixed-integer optimization (2) deep neural network (1) relu activation (1) tropical geometry (1) cut selection (1) cutting plane (1) cut generating function (1) branch-and-bound tree (1) network depth (1) rectified linear unit (1) branch-and-cut algorithm (1) black box (1) gomory mixed integer cut (1) depth bound (1) subgradient (1) inexact first-order oracles (1) mixed-integer decision variables (1)

Papers

A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles ICML 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Towards Lower Bounds on the Depth of ReLU Neural Networks NeurIPS 2021 Understanding Deep Neural Networks with Rectified Linear Units ICLR 2018