| 2026 | ISIT | Progress on the Courtade-Kumar Conjecture: Optimal High-Noise Entropy Bounds and Generalized Coordinate-wise Mutual Information. | Adel Javanmard, David P. Woodruff |
| 2025 | ICLR | Robust Feature Learning for Multi-Index Models in High Dimensions. | Alireza Mousavi-Hosseini, Adel Javanmard, Murat A. Erdogdu |
| 2025 | ICML | Integer Programming for Generalized Causal Bootstrap Designs. | Jennifer Rogers Brennan, Sbastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie |
| 2025 | ICML | Retraining with Predicted Hard Labels Provably Increases Model Accuracy. | Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong |
| 2025 | ICML | DeepCrossAttention: Supercharging Transformer Residual Connections. | Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni |
| 2025 | ICML | Improving the Variance of Differentially Private Randomized Experiments through Clustering. | Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie |
| 2025 | KDD | Differentially Private Synthetic Data Release for Topics API Outputs. | Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrs Muoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong |
| 2024 | COLT | Optimistic Rates for Learning from Label Proportions. | Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni |
| 2024 | ICLR | Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. | Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu |
| 2024 | ICML | PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses. | Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni |
| 2023 | ICML | Learning Rate Schedules in the Presence of Distribution Shift. | Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah |
| 2021 | ICML | Fundamental Tradeoffs in Distributionally Adversarial Training. | Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai |
| 2020 | COLT | Precise Tradeoffs in Adversarial Training for Linear Regression. | Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani |
| 2020 | ISIT | Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity. | Adel Javanmard, Hamid Nazerzadeh, Simeng Shao |
| 2015 | CISS | 1-bit matrix completion under exact low-rank constraint. | Sonia A. Bhaskar, Adel Javanmard |
| 2013 | ICML | Learning Linear Bayesian Networks with Latent Variables. | Animashree Anandkumar, Daniel J. Hsu, Adel Javanmard, Sham M. Kakade |
| 2012 | ISIT | Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. | David L. Donoho, Adel Javanmard, Andrea Montanari |
| 2012 | ISIT | Subsampling at information theoretically optimal rates. | Adel Javanmard, Andrea Montanari |
| 2012 | ISIT | The minimax risk of truncated series estimators for symmetric convex polytopes. | Adel Javanmard, Li Zhang |
| 2012 | Mobisys | Poster: multi-track map matching. | Adel Javanmard, Maya Haridasan, Li Zhang |
| 2012 | SIGMETRICS | Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM. | Mohammad Alizadeh, Adel Javanmard, Shang-Tse Chuang, Sundar Iyer, Yi Lu |
| 2011 | ACSSC | Robust max-product belief propagation. | Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari |
| 2011 | ISIT | Localization from incomplete noisy distance measurements. | Adel Javanmard, Andrea Montanari |
| 2011 | SIGMETRICS | Analysis of DCTCP: stability, convergence, and fairness. | Mohammad Alizadeh, Adel Javanmard, Balaji Prabhakar |