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07/05/2023
Meta-Learning Adversarial Bandit Algorithms
We study online meta-learning with bandit feedback, with the goal of imp...
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06/04/2023
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Many practical settings call for the reconstruction of temporal signals ...
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11/04/2022
Emergent Quantized Communication
The field of emergent communication aims to understand the characteristi...
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07/01/2022
Integral Probability Metrics PAC-Bayes Bounds
We present a PAC-Bayes-style generalization bound which enables the repl...
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05/31/2022
Online Meta-Learning in Adversarial Multi-Armed Bandits
We study meta-learning for adversarial multi-armed bandits. We consider ...
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02/16/2022
Enhancing Causal Estimation through Unlabeled Offline Data
Consider a situation where a new patient arrives in the Intensive Care U...
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07/12/2021
Metalearning Linear Bandits by Prior Update
Fully Bayesian approaches to sequential decision-making assume that prob...
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07/06/2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
The lower the distortion of an estimator, the more the distribution of i...
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02/28/2021
Ensemble Bootstrapping for Q-Learning
Q-learning (QL), a common reinforcement learning algorithm, suffers from...
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07/04/2020
Discount Factor as a Regularizer in Reinforcement Learning
Specifying a Reinforcement Learning (RL) task involves choosing a suitab...
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03/12/2020
Option Discovery in the Absence of Rewards with Manifold Analysis
Options have been shown to be an effective tool in reinforcement learnin...
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05/23/2019
PAC Guarantees for Concurrent Reinforcement Learning with Restricted Communication
We develop model free PAC performance guarantees for multiple concurrent...
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02/04/2019
Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders
Autoencoders are widely used for unsupervised learning and as a regulari...
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08/06/2018
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
The recently proposed distributional approach to reinforcement learning ...
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11/03/2017
Lifelong Learning by Adjusting Priors
In representational lifelong learning an agent aims to continually learn...
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01/24/2017
Learning an attention model in an artificial visual system
The Human visual perception of the world is of a large fixed image that ...
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09/12/2016
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter
The process of dynamic state estimation (filtering) based on point proce...
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11/06/2015
Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery
In the wake of recent advances in experimental methods in neuroscience, ...
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06/27/2014
Optimal Population Codes for Control and Estimation
Agents acting in the natural world aim at selecting appropriate actions ...
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10/07/2013