| Robust Aggregation for Federated Learning K Pillutla, SM Kakade, Z Harchaoui IEEE Transactions on Signal Processing 70, 1142-1154, 2022 | 740 | 2022 |
| MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ... Advances in Neural Information Processing Systems 34, 4816-4828, 2021 | 336 | 2021 |
| Federated Learning with Partial Model Personalization K Pillutla, K Malik, AR Mohamed, M Rabbat, M Sanjabi, L Xiao International Conference on Machine Learning, 17716-17758, 2022 | 185 | 2022 |
| Federated Learning with Superquantile Aggregation for Heterogeneous Data K Pillutla, Y Laguel, J Malick, Z Harchaoui Machine Learning, 1-68, 2023 | 91* | 2023 |
| A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares) P Jain, SM Kakade, R Kidambi, P Netrapalli, VK Pillutla, A Sidford arXiv preprint arXiv:1710.09430, 2017 | 44 | 2017 |
| User Inference Attacks on Large Language Models N Kandpal, K Pillutla, A Oprea, P Kairouz, CA Choquette-Choo, Z Xu arXiv preprint arXiv:2310.09266, 2023 | 30* | 2023 |
| Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Z Charles, N Mitchell, K Pillutla, M Reneer, Z Garrett Advances in Neural Information Processing Systems 36, 2023 | 26 | 2023 |
| Unleashing the Power of Randomization in Auditing Differentially Private ML K Pillutla, G Andrew, P Kairouz, HB McMahan, A Oprea, S Oh Advances in Neural Information Processing Systems 36, 2023 | 26 | 2023 |
| Superquantiles at work: Machine learning applications and efficient subgradient computation Y Laguel, K Pillutla, J Malick, Z Harchaoui Set-Valued and Variational Analysis 29 (4), 967-996, 2021 | 24 | 2021 |
| A Smoother Way to Train Structured Prediction Models VK Pillutla, V Roulet, SM Kakade, Z Harchaoui Advances in Neural Information Processing Systems 31, 2018 | 24 | 2018 |
| Influence diagnostics under self-concordance J Fisher, L Liu, K Pillutla, Y Choi, Z Harchaoui International Conference on Artificial Intelligence and Statistics, 10028-10076, 2023 | 21* | 2023 |
| MAUVE Scores for Generative Models: Theory and Practice K Pillutla, L Liu, J Thickstun, S Welleck, S Swayamdipta, R Zellers, S Oh, ... Journal of Machine Learning Research 24 (356), 1-92, 2023 | 19 | 2023 |
| Data driven resource allocation for distributed learning T Dick, M Li, VK Pillutla, C White, N Balcan, A Smola Artificial Intelligence and Statistics, 662-671, 2017 | 17 | 2017 |
| Correlated Noise Provably Beats Independent Noise for Differentially Private Learning CA Choquette-Choo, K Dvijotham, K Pillutla, A Ganesh, T Steinke, ... International Conference on Learning Representations, 2024 | 16 | 2024 |
| Divergence frontiers for generative models: Sample complexity, quantization effects, and frontier integrals L Liu, K Pillutla, S Welleck, S Oh, Y Choi, Z Harchaoui Advances in Neural Information Processing Systems 34, 12930-12942, 2021 | 15 | 2021 |
| Fine-tuning large language models with user-level differential privacy Z Charles, A Ganesh, R McKenna, HB McMahan, N Mitchell, K Pillutla, ... arXiv preprint arXiv:2407.07737, 2024 | 13 | 2024 |
| Stochastic optimization for spectral risk measures R Mehta, V Roulet, K Pillutla, L Liu, Z Harchaoui International Conference on Artificial Intelligence and Statistics, 10112-10159, 2023 | 12 | 2023 |
| LLC: Accurate, multi-purpose learnt low-dimensional binary codes A Kusupati, M Wallingford, V Ramanujan, R Somani, JS Park, K Pillutla, ... Advances in neural information processing systems 34, 23900-23913, 2021 | 12 | 2021 |
| Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy K Dvijotham, HB McMahan, K Pillutla, T Steinke, A Thakurta arXiv preprint arXiv:2404.16706, 2024 | 10 | 2024 |
| Reconstructing cancer drug response networks using multitask learning M Ruffalo, P Stojanov, VK Pillutla, R Varma, Z Bar-Joseph BMC Systems Biology 11, 1-15, 2017 | 9 | 2017 |
Zaid HarchaouiUniversity of WashingtonВерификована је имејл адреса на uw.edu