4 papers · 1 filter
AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret
Saptarishi Dhanuka, Sarvesh Iyer, Manmeet Singh +5
Recent advances in machine learning have produced probabilistic weather forecasting models comparable to state-of-the-art numerical weather predictors. But no model consistently do…
Generating DDPM-based Samples from Tilted Distributions
Himadri Mandal, Dhruman Gupta, Rushil Gupta +5
Given independent samples from a -dimensional probability distribution, our aim is to generate diffusion-based samples from a distribution obtained by tilting the original,…
Tight Lower Bounds and Improved Convergence in Performative Prediction
Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami +2
Performative prediction is a framework accounting for the shift in the data distribution induced by the prediction of a model deployed in the real world. Ensuring rapid convergence…
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
Rushil Gupta, Jason Hartford, Bang Liu
Large language models (LLMs) have recently been proposed as general-purpose agents for experimental design, with claims that they can perform in-context experimental design. We eva…