Scaling of Transformers (V aswani et al., 2017) has produced language models (LM) with impressive

We show that this worst-case influence can be efficiently computed, and though the optimization is NP-hard, a (1 1/e) approximation guarantee holds. We also analyze the structure to theadversary'schoiceofdiffusionprocess,andcontrastwithestablished models.

Onenaiveapproach to incorporate this ability into AI is through future trajectory prediction using model-based RL [40,19,31,54,28,26].

Voting systems are highly prevalent in our daily lives. Examples range from large scale democratic elections to company or family-wide decision making, recommender systems and product design[Boutilieretal.,2015].

Theseestimators havethegreatadvantageof being calculated using only theobservedinformation, leveraging theunderlying low-rank structure of the data.