5 papers
Rare Event Estimation via Iterative Unalignment
Hanming Yang, Daksh Mittal, Jing Dong +1
As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore do…
Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality
Shixiang Liu, Hanming Yang
Pervasive data contamination -- stemming from measurement errors, outliers, or adversarial corruption -- has motivated the development of robust statistical methods. In this contex…
High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond
Shixiang Liu, Zhifan Li, Hanming Yang +1
Existing high-dimensional online learning methods often face the challenge that their error bounds, or per-batch sample sizes, diverge as the number of data batches increases. To a…
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts
Naimeng Ye, Hongseok Namkoong
Intelligent agents must be able to articulate its own uncertainty. In this work, we show that pre-trained sequence models are naturally capable of probabilistic reasoning over exch…
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso +3
Reconstructing jets, which provide vital insights into the properties and histories of subatomic particles produced in high-energy collisions, is a main problem in data analyses in…