Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
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9 results at UAI 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- Tengfei Ma
- Trong Nghia Hoang
- et al.
- 2023
- UAI 2023
Pessimistic Model Selection for Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2023
- UAI 2023
FLASH: Automating Federated Learning using CASH
- Md Ibrahim Ibne Alam
- Koushik Kar
- et al.
- 2023
- UAI 2023
Aligned Diffusion Schrödinger Bridges
- Vignesh Ram Somnath
- Maria Rodriguez Martinez
- et al.
- 2023
- UAI 2023
Information Theoretic Clustering via Divergence Maximization among Clusters
- Sahil Garg
- Mina Dalirrooyfard
- et al.
- 2023
- UAI 2023
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO
- Bobak Pezeshki
- Radu Marinescu
- et al.
- 2023
- UAI 2023
BISCUIT: Causal Representation Learning from Binary Interactions
- Phillip Lippe
- Sara Magliacane
- et al.
- 2023
- UAI 2023
Can We Evaluate Causal Structures Using Graph Neural Networks?
- Abi Langbridge
- Fearghal O'Donncha
- et al.
- 2023
- UAI 2023