@aaeworkshop

Sequential Learning x Adaptive Experimentation x Causal Inference - Workshop Dates: June 18th-19th, 2026 Address: 25 Howland St, London W1T 4JG, United Kingdom

 London, UK
aae-workshop.github.io/info/
Joined April 2026
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  • Following6
  • Followers16
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Final deadline reminder: applications to AAE close today. Join us at Gatsby for two days on adaptive experimentation, causal inference, bandits, RL, and sequential decision-making. Apply: aae-workshop.github.io/info/
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Speaker spotlight #5: Ian Waudby-Smith, UC Berkeley. Can we perform sequential hypothesis testing while adaptively choosing which arm to sample? Ian will discuss recent work on multi-armed sequential testing by betting.
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Talk title: “Multi-Armed Sequential Hypothesis Testing by Betting” The talk connects e-processes, optimality, and multi-armed data collection. 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 aae-workshop.github.io/info/
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Only 2 days left to apply to AAE. Time to stop exploring and exploit the application link. 📅 June 18–19, Gatsby Unit, London Deadline: May 28 🔗 aae-workshop.github.io/info/
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Only 3 days left to submit your application / poster abstract for AAE at Gatsby. Deadline: May 28 Apply: aae-workshop.github.io/info/
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Speaker spotlight #5: Koulik Khamaru, Rutgers University. Can regularization make contextual bandits more stable? Koulik will present Stabilizing Bandit Algorithms via Regularization, on adaptive algorithms that combine low regret with reliable statistical inference.
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Talk title: “Stabilizing Bandit Algorithms via Regularization” 🗓️ June 19, 09:45–10:45 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/ Application deadline: May 28.
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Speaker spotlight #4: Gergely Neu, ICREA & UPF. Can stochastic control offer a new route to generative modeling? Gergely will present Value-Driven Transport, a stochastic-control approach to generative modeling via efficient sample transport.
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Talk title: “Generative Modeling by Value-Driven Transport” 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/ Application deadline: May 28.
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Only 6 days left to apply for the Advances in Adaptive Experimentation Workshop! 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London Two days on causal inference, adaptive experiments, bandits, and RL. Apply here: aae-workshop.github.io/info/
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Speaker spotlight #3: Kelly Zhang, Imperial College London. Can we build valid confidence intervals for the average reward of adaptive bandit algorithms? Kelly will present Bandit Simulation for Inference, a framework for inference with on-policy or off-policy bandit data.
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Talk title: “Bandit Simulation for Average Reward Inference” 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/ Application deadline: May 28.
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AAE Workshop application deadline is in 2 weeks — have you applied yet? Join us at Gatsby Unit on June 18–19 for two days on adaptive experimentation, causal inference, bandits, and RL. Apply here: aae-workshop.github.io/info/ #AdaptiveExperimentation #CausalInference #Bandits #RL
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Speakers include Emma Brunskill, Tor Lattimore, Gergely Neu, Koulik Khamaru, Kelly Zhang, Aurélien Bibaut, and Ian Waudby-Smith. Application deadline: May 28.
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Speaker spotlight #2: Aurélien Bibaut, @NetflixResearch. Can policy-based contextual bandits achieve fast regret without realizability? Aurélien will explore this at AAE through variance-aware pessimistic policy learning and self-normalized martingale tools for adaptive data.
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Talk title: “Fast Best-in-Class Regret for Contextual Bandits” 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/
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Speaker spotlight #1: Tor Lattimore (@LattimoreTor), DeepMind. What can continuous-time diffusions teach us about RL, ML, and adaptive experimentation? Tor will explore this at AAE through sequential design and policy gradients for stochastic bandits.
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Talk title: “Continuous-time as a Tool for Understanding in RL, ML and Beyond” 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/
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The AAE Workshop deadline is in 3 weeks — have you applied yet? 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London Join us for two days on causal inference, adaptive experiments, bandits, and RL. 🔗 aae-workshop.github.io/info/
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🚀 Excited to announce the Advances in Adaptive Experimentation (AAE) Workshop! 📅 June 18–19 🔗 aae-workshop.github.io/info/ Join us at @GatsbyUCL in London for two days at the frontier of causal inference 🧩, adaptive experiments 🔁, and bandits/RL 🤖!
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