Karan Chadha

5 papers · 2020–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICML (3) AISTATS (1) NeurIPS (1)

Top co-authors

Gary Cheng (4) John Duchi (3) Hilal Asi (2) Matthew Jagielski (1) Milad Nasr (1) Christopher A. Choquette-Choo (1) John C. Duchi (1) Nicolas Papernot (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Artificial Intelligence (1) Computer Science (1) Mathematics & Optimization (1) Application Areas (1) Applications (1) Core Methods (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Optimization (1)

Keywords

differential privacy (2) stochastic convex optimization (2) stochastic optimization (2) high-dimensional regression (1) linear convergence (1) convergence guarantee (1) convergence rate (1) lower bound (1) model-based optimization (1) federated averaging (1) interpolation regime (1) client fine-tuning (1) proximal point method (1) model-based method (1) personalized federated learning (1) mini-batch learning (1) private optimization (1) bundle method (1) private prediction (1) capc (1)

Papers

Auditing Private Prediction ICML 2024 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022 Private optimization in the interpolation regime: faster rates and hardness results ICML 2022 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020