Advances on Adaptive Experimentation Workshop

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/

Only 3 days left to submit your application / poster abstract for AAE at Gatsby. Deadline: May 28 Apply: aae-workshop.github.io/info/

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.

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.

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.

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.

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/

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.

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.

Speakers include Emma Brunskill, Tor Lattimore, Gergely Neu, Koulik Khamaru, Kelly Zhang, Aurélien Bibaut, and Ian Waudby-Smith. Application deadline: May 28.

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

Talk title: “Fast Best-in-Class Regret for Contextual Bandits” 📅 June 18–19 📍 Gatsby Computational Neuroscience Unit, London 🔗 Apply: aae-workshop.github.io/info/

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.

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/

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.

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/

🚀 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 🤖!