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02/23/2023
Sequential Counterfactual Risk Minimization
Counterfactual Risk Minimization (CRM) is a framework for dealing with t...
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06/19/2022
Nested bandits
In many online decision processes, the optimizing agent is called to cho...
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02/11/2022
Efficient Kernel UCB for Contextual Bandits
In this paper, we tackle the computational efficiency of kernelized UCB ...
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04/22/2020
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions
Counterfactual reasoning from logged data has become increasingly import...
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12/19/2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance...
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12/06/2018
Adversarially Learned Anomaly Detection
Anomaly detection is a significant and hence well-studied problem. Howev...
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07/11/2018
Manifold regularization with GANs for semi-supervised learning
Generative Adversarial Networks are powerful generative models that are ...
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07/07/2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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07/07/2018
Mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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05/23/2018
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
GANS are powerful generative models that are able to model the manifold ...
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02/17/2018
