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Stefano Ermon

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titleconferencedate
Conditional Imitation Learning for Multi-Agent GamesHRI 20222022-03-07
Proposes a conditional imitation framework that learns a latent low-rank subspace over ego and partner strategies and uses tensor decomposition to infer a new…
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Bayesian Optimization and Machine Learning for Accelerating Experiments in the Physical SciencesAAAI-MLPS 20202020-03-23
Describes a practical pipeline that recalibrates confidence intervals for regression and classification by learning a mapping from predicted probabilities to…
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Random Projections for Probabilistic InferenceUncertainty in Computation 20162016-10-04
Combining random parity constraints with variational inference yields a practical project-then-optimize pipeline that converts counting the partition function…
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