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Nicholas Bambos

14 papers · 2017–2024 · 4 venues · across top CS/AI venues

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Achievements

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+5 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (23)
🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (76) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner

Venues

NeurIPS (9) ICML (3) AISTATS (1) JMLR (1)

Top co-authors

Ilai Bistritz (7) Panayotis Mertikopoulos (6) Zhengyuan Zhou (6) Jose Blanchet (4) Peter W. Glynn (3) Kyriakos Lotidis (3) Yinyu Ye (2) Xi Chen (2) Li Fei-fei (1) Ariana Mann (1)

Research topics

Machine Learning (13) Mathematics & Optimization (12) Optimization (12) Artificial Intelligence (10) Core AI (10) Optimization & Theory (9) Learning Types (5) Application Areas (3)

Keywords

game theory (4) distributed learning (4) multi-armed bandit (4) nash equilibrium (4) regret bound (3) zero-sum game (3) online algorithm (3) multi-agent learning (2) online learning (2) delayed feedback (2) adversarial bandit (2) gradient descent (1) kalman filter (1) regularized learning (1) non-convex optimization (1) stochastic gradient descent (1) accelerated gradient (1) online mirror descent (1) nash equilibria (1) convergence analysis (1)

Papers

Accelerated Regularized Learning in Finite N-Person Games NeurIPS 2024 Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NeurIPS 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022 Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NeurIPS 2022 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021 Cooperative Multi-player Bandit Optimization NeurIPS 2020 Distributed Distillation for On-Device Learning NeurIPS 2020 My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018 Learning in Games with Lossy Feedback NeurIPS 2018 Countering Feedback Delays in Multi-Agent Learning NeurIPS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017