Krishna Jagannathan

4 papers · 2019–2022 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

AISTATS (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Prashanth L.A. (2) Jayakrishnan Nair (2) Anmol Kagrecha (2) Ravi Kolla (1) Kumar Ashutosh (1) Vincent Y. F. Tan (1)

Research topics

Machine Learning (4) Mathematics & Optimization (2) Application Areas (2) Optimization (2) Optimization & Theory (2) Artificial Intelligence (1) Core AI (1) Learning Types (1)

Keywords

multi-armed bandit (4) conditional value at risk (2) heavy-tailed distribution (2) regret minimization (2) best arm identification (2) risk metric (1) light-tailed distribution (1) learning theory (1) unbounded reward (1) exploration-exploitation tradeoff (1) concentration bound (1) risk measure (1) statistical robustness (1)

Papers

A Survey of Risk-Aware Multi-Armed Bandits IJCAI 2022 Bandit algorithms: Letting go of logarithmic regret for statistical robustness AISTATS 2021 Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020 Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards NeurIPS 2019