Adel Javanmard
University of Southern California
H-index: 28
North America-United States
Top articles of Adel Javanmard
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions | arXiv preprint arXiv:2401.11081 | Adel Javanmard Lin Chen Vahab Mirrokni Ashwinkumar Badanidiyuru Gang Fu | 2024/1/20 |
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses | arXiv preprint arXiv:2402.04987 | Adel Javanmard Matthew Fahrbach Vahab Mirrokni | 2024/2/7 |
GRASP: a goodness-of-fit test for classification learning | Journal of the Royal Statistical Society Series B: Statistical Methodology | Adel Javanmard Mohammad Mehrabi | 2024/2 |
Causal Inference with Differentially Private (Clustered) Outcomes | arXiv preprint arXiv:2308.00957 | Adel Javanmard Vahab Mirrokni Jean Pouget-Abadie | 2023/8/2 |
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization | Advances in Neural Information Processing Systems | Adel Javanmard Vahab Mirrokni | 2023/12/15 |
Learning rate schedules in the presence of distribution shift | Matthew Fahrbach Adel Javanmard Vahab Mirrokni Pratik Worah | 2023/7/3 | |
A new Framework for Measuring Re-Identification Risk | CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin | 2023/12/12 | |
Measuring re-identification risk | Proceedings of the ACM on Management of Data | CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin | 2023/6/20 |
Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization | arXiv preprint arXiv:2310.04015 | Adel Javanmard Vahab Mirrokni | 2023/10/6 |
Online debiasing for adaptively collected high-dimensional data with applications to time series analysis | Journal of the American Statistical Association | Yash Deshpande Adel Javanmard Mohammad Mehrabi | 2023/4/3 |
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff | Operations Research | Adel Javanmard Mohammad Mehrabi | 2023/8/22 |
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model | arXiv preprint arXiv:2303.15652 | Rashmi Ranjan Bhuyan Adel Javanmard Sungchul Kim Gourab Mukherjee Ryan A Rossi | 2023/3/28 |
Prediction Sets for High-Dimensional Mixture of Experts Models | arXiv preprint arXiv:2210.16710 | Adel Javanmard Simeng Shao Jacob Bien | 2022/10/30 |
Precise statistical analysis of classification accuracies for adversarial training | The Annals of Statistics | Adel Javanmard Mahdi Soltanolkotabi | 2022/8 |
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression | arXiv preprint arXiv:2201.05149 | Hamed Hassani Adel Javanmard | 2022/1/13 |
Fundamental tradeoffs in distributionally adversarial training | Mohammad Mehrabi Adel Javanmard Ryan A Rossi Anup Rao Tung Mai | 2021/7/1 | |
Pearson chi-squared conditional randomization test | arXiv preprint arXiv:2111.00027 | Adel Javanmard Mohammad Mehrabi | 2021/10/29 |
Controlling the false split rate in tree-based aggregation | arXiv preprint arXiv:2108.05350 | Simeng Shao Jacob Bien Adel Javanmard | 2021/8/11 |
Multi-product dynamic pricing in high-dimensions with heterogeneous price sensitivity | Adel Javanmard Hamid Nazerzadeh Simeng Shao | 2020/6/21 | |
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties | arXiv preprint arXiv:2012.02901 | Dmitrii M Ostrovskii Mohamed Ndaoud Adel Javanmard Meisam Razaviyayn | 2020/12/4 |
Co-Authors
