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Found 7 papers, 6 papers with code
Learning Robust Features using Deep Learning for Automatic Seizure Detection
We present and evaluate the capacity of a deep neural network to learn robust features from EEG to automatically detect seizures.
Adversarial Balancing for Causal Inference
Biases in observational data of treatments pose a major challenge to estimating expected treatment outcomes in different populations.
Temporal Regularization in Markov Decision Process
Several applications of Reinforcement Learning suffer from instability due to high variance.
Temporal Regularization for Markov Decision Process
Several applications of Reinforcement Learning suffer from instability due to high variance.
Recurrent Value Functions
Despite recent successes in Reinforcement Learning, value-based methods often suffer from high variance hindering performance.
Solving Schrödinger Bridges via Maximum Likelihood
The Schr\"odinger bridge problem (SBP) finds the most likely stochastic evolution between two probability distributions given a prior stochastic evolution.
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
The survey shows the design decisions of the systems and the requirements these satisfy.
