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11/27/2022
Beyond 1-WL with Local Ego-Network Encodings
Identifying similar network structures is key to capture graph isomorphi...
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10/05/2022
Crowding out the truth? A simple model of misinformation, polarization and meaningful social interactions
This paper provides a simple theoretical framework to evaluate the effec...
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09/04/2021
Uncovering the Limits of Text-based Emotion Detection
Identifying emotions from text is crucial for a variety of real world ta...
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06/29/2021
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
In this work we present a novel approach to hierarchical reinforcement l...
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01/15/2021
Hierarchical Width-Based Planning and Learning
Width-based search methods have demonstrated state-of-the-art performanc...
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09/26/2020
Inductive Graph Embeddings through Locality Encodings
Learning embeddings from large-scale networks is an open challenge. Desp...
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05/13/2020
Adaptive Smoothing Path Integral Control
In Path Integral control problems a representation of an optimally contr...
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09/25/2019
Input complexity and out-of-distribution detection with likelihood-based generative models
Likelihood-based generative models are a promising resource to detect ou...
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05/13/2019
Consequential Ranking Algorithms and Long-term Welfare
Ranking models are typically designed to provide rankings that optimize ...
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04/12/2019
Deep Policies for Width-Based Planning in Pixel Domains
Width-based planning has demonstrated great success in recent years due ...
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02/07/2019
The few-get-richer: a surprising consequence of popularity-based rankings
Ranking algorithms play a crucial role in online platforms ranging from ...
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01/15/2019
Sharing emotions at scale: The Vent dataset
The continuous and increasing use of social media has enabled the expres...
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07/12/2018
Interactive Discovery System for Direct Democracy
Decide Madrid is the civic technology of Madrid City Council which allow...
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06/15/2018
Improving width-based planning with compact policies
Optimal action selection in decision problems characterized by sparse, d...
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05/22/2017
A unified view of entropy-regularized Markov decision processes
We propose a general framework for entropy-regularized average-reward re...
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02/21/2017
Fast rates for online learning in Linearly Solvable Markov Decision Processes
We study the problem of online learning in a class of Markov decision pr...
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03/10/2016
Hierarchical Linearly-Solvable Markov Decision Problems
We present a hierarchical reinforcement learning framework that formulat...
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08/09/2014
Approximate inference on planar graphs using Loop Calculus and Belief Propagation
We introduce novel results for approximate inference on planar graphical...
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04/12/2010