Joined April 2026
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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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