| 2025 | ACL | Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity. | Dang Nguyen, Ali Payani, Baharan Mirzasoleiman |
| 2025 | ICLR | Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks. | Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman |
| 2025 | ICLR | Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures. | Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman |
| 2025 | ICML | Synthetic Text Generation for Training Large Language Models via Gradient Matching. | Dang Nguyen, Zeman Li, MohammadHossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman |
| 2025 | ICML | Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions. | Yihao Xue, Jiping Li, Baharan Mirzasoleiman |
| 2024 | AISTATS | Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias. | Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman |
| 2024 | AISTATS | Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. | Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman |
| 2024 | ICLR | Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. | Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman |
| 2024 | ICLR | Investigating the Benefits of Projection Head for Representation Learning. | Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman |
| 2024 | ICLR | Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. | Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman |
| 2024 | ICML | NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction. | Haofan Lu, Christopher Vattheuer, Baharan Mirzasoleiman, Omid Abari |
| 2024 | ICML | Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. | Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman |
| 2024 | ICML | Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks. | Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman |
| 2024 | UAI | Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise. | Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman |
| 2024 | UAI | Graph Contrastive Learning under Heterophily via Graph Filters. | Wenhan Yang, Baharan Mirzasoleiman |
| 2023 | AISTATS | High Probability Bounds for Stochastic Continuous Submodular Maximization. | Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman |
| 2023 | ICML | Towards Sustainable Learning: Coresets for Data-efficient Deep Learning. | Yu Yang, Hao Kang, Baharan Mirzasoleiman |
| 2023 | ICML | Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. | Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman |
| 2023 | ICML | Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least. | Siddharth Joshi, Baharan Mirzasoleiman |
| 2023 | ICML | Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. | Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman |
| 2022 | AAAI | CrossWalk: Fairness-Enhanced Node Representation Learning. | Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman |
| 2022 | ICDE | On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). | Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla |
| 2022 | ICML | Adaptive Second Order Coresets for Data-efficient Machine Learning. | Omead Pooladzandi, David Davini, Baharan Mirzasoleiman |
| 2022 | ICML | Investigating Why Contrastive Learning Benefits Robustness against Label Noise. | Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman |
| 2022 | ICML | Not All Poisons are Created Equal: Robust Training against Data Poisoning. | Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman |
| 2022 | WWW | Analytical Models for Motifs in Temporal Networks. | Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec |
| 2020 | ICLR | Selection via Proxy: Efficient Data Selection for Deep Learning. | Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia |
| 2020 | ICML | Coresets for Data-efficient Training of Machine Learning Models. | Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec |
| 2020 | UAI | Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. | Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger |
| 2018 | AAAI | Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly. | Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause |
| 2017 | AISTATS | Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. | Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause |
| 2017 | ICML | Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten". | Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2016 | ICML | Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization. | Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause, Yaron Singer |
| 2016 | ICML | Fast Constrained Submodular Maximization: Personalized Data Summarization. | Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi |
| 2015 | AAAI | Lazier Than Lazy Greedy. | Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrk, Andreas Krause |
| 2014 | KDD | Streaming submodular maximization: massive data summarization on the fly. | Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2009 | ISPA | Utility Proportional Optimization Flow Control for Overlay Multicast. | Ali Jafari, Hosein Shafiei, Baharan Mirzasoleiman, Ghodrat Sepidnam |