Summary of Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-aware Policy, By Ruichu Cai et al.
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policyby Ruichu Cai, Siyang…
Summary of Choosing a Classical Planner with Graph Neural Networks, by Jana Vatter et al.
Choosing a Classical Planner with Graph Neural Networksby Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst…
Summary of A Unified Gaussian Process For Branching and Nested Hyperparameter Optimization, by Jiazhao Zhang and Ying Hung and Chung-ching Lin and Zicheng Liu
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimizationby Jiazhao Zhang, Ying Hung, Chung-Ching…
Summary of On Provable Length and Compositional Generalization, by Kartik Ahuja et al.
On Provable Length and Compositional Generalizationby Kartik Ahuja, Amin MansouriFirst submitted to arxiv on: 7…
Summary of Probabilistic Ml Verification Via Weighted Model Integration, by Paolo Morettin et al.
Probabilistic ML Verification via Weighted Model Integrationby Paolo Morettin, Andrea Passerini, Roberto SebastianiFirst submitted to…
Summary of The Strain Of Success: a Predictive Model For Injury Risk Mitigation and Team Success in Soccer, by Gregory Everett et al.
The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in…
Summary of L4q: Parameter Efficient Quantization-aware Fine-tuning on Large Language Models, by Hyesung Jeon et al.
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Modelsby Hyesung Jeon, Yulhwa Kim, Jae-joon KimFirst…
Summary of Conformal Convolution and Monte Carlo Meta-learners For Predictive Inference Of Individual Treatment Effects, by Jef Jonkers et al.
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effectsby Jef Jonkers,…
Summary of Voronoi Candidates For Bayesian Optimization, by Nathan Wycoff et al.
Voronoi Candidates for Bayesian Optimizationby Nathan Wycoff, John W. Smith, Annie S. Booth, Robert B.…
Summary of Moco: a Learnable Meta Optimizer For Combinatorial Optimization, by Tim Dernedde et al.
Moco: A Learnable Meta Optimizer for Combinatorial Optimizationby Tim Dernedde, Daniela Thyssens, Sören Dittrich, Maximilian…