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Chandra Reddy

3 accepted papers

2024

Identifying Homogeneous and Interpretable Groups for Conformal Prediction

UAI 2024poster

Conformal prediction methods are a tool for uncertainty quantification of a model’s prediction, providing a model-agnostic and distribution-free statistical wrapper that generates prediction intervals/sets for a given model with finite sample generalization guarantees. However, these guarantees hol…

Cited by 2SourcePDFScholar
2024

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

NeurIPS 2024poster

Large pre-trained models excel in zero/few-shot learning for language and vision tasks but face challenges in multivariate time series (TS) forecasting due to diverse data characteristics. Consequently, recent research efforts have focused on developing pre-trained TS forecasting models. These model…

2022

Interpretable Clustering via Multi-Polytope Machines

AAAI 2022technical

Clustering is a popular unsupervised learning tool often used to discover groups within a larger population such as customer segments, or patient subtypes. However, despite its use as a tool for subgroup discovery and description few state-of-the-art algorithms provide any rationale or description b…

Cited by 21SourcePDFScholar