Vahab Mirrokni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
10
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Position Auctions in AI-Generated Content. | Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang, Song Zuo |
| 2025 | ICLR | DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. | Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICLR | Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models. | Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICML | Best of Both Worlds: Advantages of Hybrid Graph Sequence Models. | Ali Behrouz, Ali Parviz, Mahdi Karami, Clayton Sanford, Bryan Perozzi, Vahab Mirrokni |
| 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 | Procurement Auctions via Approximately Optimal Submodular Optimization. | Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo |
| 2025 | ICML | Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures. | Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy L. Nguyen, David P. Woodruff, 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 | 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 | IJCAI | Mechanism Design for Large Language Models (Extended Abstract). | Paul Dtting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo |
| 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 |
| 2025 | SODA | Massively Parallel Minimum Spanning Tree in General Metric Spaces. | Amir Azarmehr, Soheil Behnezhad, Rajesh Jayaram, Jakub Lacki, Vahab Mirrokni, Peilin Zhong |
| 2024 | COLT | Optimistic Rates for Learning from Label Proportions. | Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni |
| 2024 | ICLR | HyperAttention: Long-context Attention in Near-Linear Time. | Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh |
| 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 | Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond. | Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David P. Woodruff, Michael Wunder |
| 2024 | ICML | A Field Guide for Pacing Budget and ROS Constraints. | Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang |
| 2024 | ICML | Perturb-and-Project: Differentially Private Similarities and Marginals. | Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Vahab Mirrokni, Peilin Zhong |
| 2024 | ICML | High-Dimensional Geometric Streaming for Nearly Low Rank Data. | Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David P. Woodruff, Peilin Zhong |
| 2024 | ICML | PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses. | Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni |
| 2024 | ICML | PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels. | Praneeth Kacham, Vahab Mirrokni, Peilin Zhong |
| 2024 | WWW | Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. | Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
| 2024 | WWW | Efficiency of the Generalized Second-Price Auction for Value Maximizers. | Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo |
| 2024 | WWW | Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. | Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo |
| 2024 | WWW | Mechanism Design for Large Language Models. | Paul Dtting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo |
| 2024 | WWW | Smooth Anonymity for Sparse Graphs. | Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni, Andrs Muoz Medina |
| 2024 | SODA | Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. | Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong |
| 2024 | STOC | Optimal Communication Bounds for Classic Functions in the Coordinator Model and Beyond. | Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David P. Woodruff, Peilin Zhong |
| 2023 | AISTATS | Pricing against a Budget and ROI Constrained Buyer. | Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
| 2023 | ICLR | Sequential Attention for Feature Selection. | Taisuke Yasuda, Mohammad Hossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni |
| 2023 | ICLR | Replicable Bandits. | Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas |
| 2023 | ICML | Robust Budget Pacing with a Single Sample. | Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang |
| 2023 | ICML | Robust and private stochastic linear bandits. | Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni |
| 2023 | ICML | Multi-channel Autobidding with Budget and ROI Constraints. | Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
| 2023 | ICML | Learning Rate Schedules in the Presence of Distribution Shift. | Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah |
| 2023 | ICML | Approximately Optimal Core Shapes for Tensor Decompositions. | Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni |
| 2023 | ICML | Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. | Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni |
| 2023 | WWW | Autobidding Auctions in the Presence of User Costs. | Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo |
| 2023 | SODA | Optimal Fully Dynamic | MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger, Monika Henzinger, Rajesh Jayaram, Vahab Mirrokni, Andreas Wiese |
| 2023 | SPAA | Brief Announcement: Streaming Balanced Clustering. | Hossein Esfandiari, Vahab Mirrokni, Peilin Zhong |
| 2022 | COLT | Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds. | Sepehr Assadi, Vaggos Chatziafratis, Jakub Lacki, Vahab Mirrokni, Chen Wang |
| 2022 | KDD | Scalable Differentially Private Clustering via Hierarchically Separated Trees. | Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii |