Search Results for author: Claire Monteleoni

Found 9 papers, 2 papers with code

ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows

1 code implementation11 Aug 2020 Brian Groenke, Luke Madaus, Claire Monteleoni

Downscaling is a landmark task in climate science and meteorology in which the goal is to use coarse scale, spatio-temporal data to infer values at finer scales.

Variational Inference

Evaluating the distribution learning capabilities of GANs

no code implementations5 Jul 2019 Amit Rege, Claire Monteleoni

We evaluate the distribution learning capabilities of generative adversarial networks by testing them on synthetic datasets.

Cooperative Online Learning: Keeping your Neighbors Updated

no code implementations23 Jan 2019 Nicolò Cesa-Bianchi, Tommaso R. Cesari, Claire Monteleoni

However, when agents can choose to ignore some of their neighbors based on the knowledge of the network structure, we prove a $O(\sqrt{\overline{\chi} T})$ sublinear regret bound, where $\overline{\chi} \ge \alpha$ is the clique-covering number of the network.

Convergence rate of stochastic k-means

no code implementations16 Nov 2016 Cheng Tang, Claire Monteleoni

We analyze online \cite{BottouBengio} and mini-batch \cite{Sculley} $k$-means variants.


Streaming k-means approximation

no code implementations NeurIPS 2009 Nir Ailon, Ragesh Jaiswal, Claire Monteleoni

We provide a clustering algorithm that approximately optimizes the k-means objective, in the one-pass streaming setting.


Privacy-preserving logistic regression

no code implementations NeurIPS 2008 Kamalika Chaudhuri, Claire Monteleoni

This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases.

BIG-bench Machine Learning Privacy Preserving +1

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