A. Das

2 accepted papers

2023

Blackbox optimization of unimodal functions

A. Cutkosky, A. Das, W. Kong, C. Lee, R. Sen

UAI 2023poster

We provide an intuitive new algorithm for blackbox stochastic optimization of unimodal functions, a function class that we observe empirically can capture hyperparameter-tuning loss surfaces. Our method’s convergence guarantee automatically adapts to Lipschitz constants and other problem difficulty…

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2023

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting

A. Das, W. Kong, B. Paria, R. Sen

UAI 2023poster

Probabilistic, hierarchically coherent forecasting is a key problem in many practical forecasting applications – the goal is to obtain coherent probabilistic predictions for a large number of time series arranged in a pre-specified tree hierarchy. In this paper, we present an end-to-end deep pro…

Cited by 12 Source ↗PDF ↗Scholar ↗