Advances on Adaptive Experimentation Workshop

Sequential Learning x Adaptive Experimentation x Causal Inference - Workshop

Dates: June 18th-19th, 2026
Address: 25 Howland St, London W1T 4JG, United Kingdom

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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: https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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
🔗 https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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
🔗 https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Only 3 days left to submit your application / poster abstract for AAE at Gatsby.

Deadline: May 28
Apply: https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Talk title:

“Stabilizing Bandit Algorithms via Regularization”

🗓️ June 19, 09:45–10:45
📍 Gatsby Computational Neuroscience Unit, London
🔗 Apply: https://t.co/Zar0qWhgA8
Application deadline: May 28.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Talk title:

“Generative Modeling by Value-Driven Transport”

📅 June 18–19
📍 Gatsby Computational Neuroscience Unit, London
🔗 Apply: https://t.co/Zar0qWhgA8
Application deadline: May 28.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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: https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Talk title:

“Bandit Simulation for Average Reward Inference”

📅 June 18–19
📍 Gatsby Computational Neuroscience Unit, London
🔗 Apply: https://t.co/Zar0qWhgA8
Application deadline: May 28.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Speakers include Emma Brunskill, Tor Lattimore, Gergely Neu, Koulik Khamaru, Kelly Zhang, Aurélien Bibaut, and Ian Waudby-Smith.

Application deadline: May 28.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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: https://t.co/Zar0qWhgA8

#AdaptiveExperimentation #CausalInference #Bandits #RL

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Talk title:

“Fast Best-in-Class Regret for Contextual Bandits”

📅 June 18–19
📍 Gatsby Computational Neuroscience Unit, London
🔗 Apply: https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

Talk title:

“Continuous-time as a Tool for Understanding in RL, ML and Beyond”

📅 June 18–19
📍 Gatsby Computational Neuroscience Unit, London
🔗 Apply: https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

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.

🔗 https://t.co/Zar0qWhgA8

[Advances on Adaptive Experimentation Workshop @aaeworkshop]

🚀 Excited to announce the Advances in Adaptive Experimentation (AAE) Workshop!

📅 June 18–19
🔗 https://t.co/Zar0qWhgA8

Join us at @GatsbyUCL in London for two days at the frontier of causal inference 🧩, adaptive experiments 🔁, and bandits/RL 🤖!