Summary of Ant Colony Sampling with Gflownets For Combinatorial Optimization, by Minsu Kim et al.
Ant Colony Sampling with GFlowNets for Combinatorial Optimizationby Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo…
Summary of Falcon: Flop-aware Combinatorial Optimization For Neural Network Pruning, by Xiang Meng et al.
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruningby Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul…
Summary of Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations, by Stefan Balauca et al.
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxationsby Stefan Balauca, Mark Niklas Müller,…
Summary of Provable Mutual Benefits From Federated Learning in Privacy-sensitive Domains, by Nikita Tsoy et al.
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domainsby Nikita Tsoy, Anna Mihalkova, Teodora Todorova,…
Summary of Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction, by Yury Demidovich et al.
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reductionby Yury Demidovich, Grigory…
Summary of Probabilistic Contrastive Learning For Long-tailed Visual Recognition, by Chaoqun Du et al.
Probabilistic Contrastive Learning for Long-Tailed Visual Recognitionby Chaoqun Du, Yulin Wang, Shiji Song, Gao HuangFirst…
Summary of Efficient First-order Algorithms For Large-scale, Non-smooth Maximum Entropy Models with Application to Wildfire Science, by Gabriel P. Langlois et al.
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire scienceby Gabriel…
Summary of In-context Exploration-exploitation For Reinforcement Learning, by Zhenwen Dai et al.
In-context Exploration-Exploitation for Reinforcement Learningby Zhenwen Dai, Federico Tomasi, Sina GhiassianFirst submitted to arxiv on:…
Summary of Rl-msa: a Reinforcement Learning-based Multi-line Bus Scheduling Approach, by Yingzhuo Liu
RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approachby Yingzhuo LiuFirst submitted to arxiv on: 11…
Summary of Scalable Online Exploration Via Coverability, by Philip Amortila et al.
Scalable Online Exploration via Coverabilityby Philip Amortila, Dylan J. Foster, Akshay KrishnamurthyFirst submitted to arxiv…