Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environmentsby Han Wang, Sihong He,…
Decentralized Optimization in Time-Varying Networks with Arbitrary Delaysby Tomas Ortega, Hamid JafarkhaniFirst submitted to arxiv…
Contrasting Multiple Representations with the Multi-Marginal Matching Gapby Zoe Piran, Michal Klein, James Thornton, Marco…
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy…
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearningby Keltin Grimes, Collin Abidi, Cole Frank,…
Synthetic Potential Outcomes and Causal Mixture Identifiabilityby Bijan Mazaheri, Chandler Squires, Caroline UhlerFirst submitted to…
Partial Information Decomposition for Data Interpretability and Feature Selectionby Charles Westphal, Stephen Hailes, Mirco MusolesiFirst…
Valid Conformal Prediction for Dynamic GNNsby Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-DelanchyFirst…
Forward-Backward Knowledge Distillation for Continual Clusteringby Mohammadreza Sadeghi, Zihan Wang, Narges ArmanfardFirst submitted to arxiv…
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety:…