Ramchandran Kannan

6 papers · 2018–2022 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🔥 Unstoppable · Bronze

Venues

ICML (4) AISTATS (2)

Top co-authors

Peter Bartlett (3) Dong Yin (3) Avishek Ghosh (2) Yudong Chen (2) Zhengming Zhang (1) Abishek Sankararaman (1) Yaoqing Yang (1) Linyue Song (1) Michael Mahoney (1) Prateek Mittal (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Artificial Intelligence (3) Core AI (2) Reinforcement Learning (1) Security & Privacy (1) Application Areas (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1) Learning Types (1) Methods (1) Privacy (1)

Keywords

byzantine-robust distributed learning (2) adversarial robustness (1) model selection (1) non-convex optimization (1) adversarial machine learning (1) distributed optimization (1) rademacher complexity (1) backdoor attack (1) multi-armed bandit (1) generalization bound (1) regret bound (1) adaptive algorithm (1) iteration complexity (1) adversarial perturbation (1) linear bandit (1) model poisoning (1) saddle point (1) neural network (1) adversarial backdoor (1) parameter attack (1)

Papers

Neurotoxin: Durable Backdoors in Federated Learning ICML 2022 Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021 Alternating Minimization Converges Super-Linearly for Mixed Linear Regression AISTATS 2020 Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning ICML 2019 Rademacher Complexity for Adversarially Robust Generalization ICML 2019 Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates ICML 2018