New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
https://openreview.net/forum?id=KqR3rgooXb
#imputation #multimodal #imputed
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic...
Numerical data imputation algorithms replace missing values by estimates to leverage incomplete data sets. Current imputation methods seek to minimize the error between the unobserved ground truth...
New #ReproducibilityCertification:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad
https://openreview.net/forum?id=R9CgBkeZ6Z
#dropouts #dropout #feature
Aux-Drop: Handling Haphazard Inputs in Online Learning Using...
Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new...
A Stochastic Proximal Polyak Step Size
Recently, the stochastic Polyak step size (SPS) has emerged as a competitive adaptive step size scheme for stochastic gradient descent. Here we develop ProxSPS, a proximal variant of SPS that can...
New #ReproducibilityCertification:
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
https://openreview.net/forum?id=RYeRNwRjNE
#counterfactual #explainability #explanations
Explaining Visual Counterfactual Explainers
Explainability methods have been widely used to provide insight into the decisions made by statistical models, thus facilitating their adoption in various domains within the industry....
New #ReproducibilityCertification:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
https://openreview.net/forum?id=JjbsIYOuNi
#investment #investors #financial
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement...
The financial markets, which involve more than $90 trillion market capitals, attract the attention of innumerable investors around the world. Recently, reinforcement learning in financial markets...
New #ReproducibilityCertification:
Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It
Doruk Kilitcioglu, Serdar Kadioglu
https://openreview.net/forum?id=sX9d3gfwtE
#bandit #reproducibility #deterministic
Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs...
Thompson Sampling with Linear Payoffs (LinTS) is popular contextual bandit algorithm for solving sequential decision making problem. While LinTS has been studied extensively in the academic...
New #ReproducibilityCertification:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
https://openreview.net/forum?id=GFK1FheE7F
#depth #monodepth_benchmark #maps
Deconstructing Self-Supervised Monocular Reconstruction: The Design...
This paper presents an open and comprehensive framework to systematically evaluate state-of-the-art contributions to self-supervised monocular depth estimation. This includes pretraining, backbone,...
TMLR certifications
