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07/11/2023
Uncertainty Quantification of the Virial Black Hole Mass with Conformal Prediction
Precise measurements of the black hole mass are essential to gain insigh...
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05/22/2023
Squared Neural Families: A New Class of Tractable Density Models
Flexible models for probability distributions are an essential ingredien...
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11/11/2022
Deep equilibrium models as estimators for continuous latent variables
Principal Component Analysis (PCA) and its exponential family extensions...
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06/26/2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
We consider the problem of personalised news recommendation where each u...
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12/24/2021
Gaussian Process Bandits with Aggregated Feedback
We consider the continuum-armed bandits problem, under a novel setting o...
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11/27/2021
Factorized Fourier Neural Operators
The Fourier Neural Operator (FNO) is a learning-based method for efficie...
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02/15/2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
We propose a new model for networks of time series that influence each o...
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10/22/2020
Quantile Bandits for Best Arms Identification with Concentration Inequalities
We consider a variant of the best arm identification task in stochastic ...
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01/31/2019
New Tricks for Estimating Gradients of Expectations
We derive a family of Monte Carlo estimators for gradients of expectatio...
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01/18/2019
Cold-start Playlist Recommendation with Multitask Learning
Playlist recommendation involves producing a set of songs that a user mi...
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06/08/2018
Monge beats Bayes: Hardness Results for Adversarial Training
The last few years have seen extensive empirical study of the robustness...
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06/05/2018
A Primer on Causal Analysis
We provide a conceptual map to navigate causal analysis problems. Focusi...
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09/22/2016
Hawkes Processes with Stochastic Excitations
We propose an extension to Hawkes processes by treating the levels of se...
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08/21/2016
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches
Knowledge graph construction consists of two tasks: extracting informati...
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07/01/2016
A scaled Bregman theorem with applications
Bregman divergences play a central role in the design and analysis of a ...
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10/16/2014