| 2026 | COLT | Theoretical Compression Bounds for Wide Multilayer Perceptrons. | Houssam El Cheairi, David Gamarnik, Rahul Mazumder |
| 2025 | EMNLP | Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems. | Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder |
| 2025 | ICLR | Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework. | Ryan Lucas, Rahul Mazumder |
| 2025 | KDD | MOSS: Multi-Objective Optimization for Stable Rule Sets. | Brian Liu, Rahul Mazumder |
| 2025 | KDD | SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning. | Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh |
| 2025 | WWW | Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. | Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu |
| 2024 | AISTATS | End-to-end Feature Selection Approach for Learning Skinny Trees. | Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder |
| 2024 | AISTATS | FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning. | Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul Mazumder |
| 2024 | ICML | OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. | Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder |
| 2024 | KDD | FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML. | Brian Liu, Rahul Mazumder |
| 2023 | AISTATS | ForestPrune: Compact Depth-Pruned Tree Ensembles. | Brian Liu, Rahul Mazumder |
| 2023 | CIKM | Optimizing for Member Value in an Edge Building Marketplace. | Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal |
| 2023 | ICML | Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. | Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder |
| 2023 | KDD | Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. | Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta |
| 2023 | KDD | COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. | Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder |
| 2023 | KDD | Fire: An Optimization Approach for Fast Interpretable Rule Extraction. | Brian Liu, Rahul Mazumder |
| 2023 | WWW | Promoting Inactive Members in Edge-Building Marketplace. | Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta |
| 2022 | ICML | Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features. | Rahul Mazumder, Xiang Meng, Haoyue Wang |
| 2022 | KDD | Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. | Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder |
| 2021 | IPCO | Linear Regression with Mismatched Data: A Provably Optimal Local Search Algorithm. | Rahul Mazumder, Haoyue Wang |
| 2020 | AISTATS | Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. | Hussein Hazimeh, Rahul Mazumder |
| 2020 | ICML | ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. | Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan |
| 2020 | ICML | The Tree Ensemble Layer: Differentiability meets Conditional Computation. | Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder |
| 2018 | CIKM | Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. | Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi |