Topic: rejection sampling

A polynomial-time algorithm samples the Sherrington–Kirkpatrick Gibbs distribution with negligible total-variation error for inverse temperatures below one half. The talk combines stochastic localization, Jarzynski's equality and rejection sampling with covariance and functional-inequality estimates. It also derives a weak Poincaré inequality that simplifies the construction and relates the guarantees to earlier Wasserstein results.

Devi Parikh discusses browser agents that act through visually grounded models. The conversation examines screenshots as an interface, training with supervised learning, rejection sampling and reinforcement learning, and coordinating tools and sub-agents. It considers reliability and the progression from background monitoring to autonomous web tasks.