An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
- Yishai Shimoni
- Ehud Karavani
- et al.
- 2019
- arXiv
Paper
Publications
1609 results for Machine Learning
A General Family of Robust Stochastic Operators for Reinforcement Learning
- 2019
- arXiv
PaperNormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction
- Dustin Wright
- Yannis Katsis
- et al.
- 2019
- AKBC 2019
Conference paperPromoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
- Kibichii Bore
- Ravi Kiran Raman
- et al.
- 2019
- ICBC 2019
Conference paperedGNN: A simple and powerful GNN for directed labeled graphs
- Guillaume Jaume
- An-Phi Nguyen
- et al.
- 2019
- ICLR 2019
Workshop paperRecurrent Neural Networks in the Eye of Differential Equations
- Murphy Yuezhen Niu
- Isaac L. Chuang
- et al.
- 2019
- arXiv
PaperDemocratizing Usage of Planning Systems by Facilitating Research in Algorithm Selection for Planning
- Michael Katz
- Silvan Sievers
- 2019
- ICAPS 2019
Workshop paperConfidence scoring using whitebox meta-models with linear classifier probes
- Tongfei Chen
- Jiri Navratil
- et al.
- 2019
- AISTATS 2019
Conference paperSize of interventional Markov equivalence classes in random DAG models
- Dmitriy Katz-Rogozhnikov
- Karthikeyan Shanmugam
- et al.
- 2019
- AISTATS 2019
Conference paperAnalog memory-based techniques for accelerating the training of fully-connected deep neural networks
- Sidney Tsai
- Stefano Ambrogio
- et al.
- 2019
- SPIE Advanced Lithography 2019
Conference paper