Summary of Deep Online Probability Aggregation Clustering, by Yuxuan Yan et al.
Deep Online Probability Aggregation Clusteringby Yuxuan Yan, Na Lu, Ruofan YanFirst submitted to arxiv on:…
Summary of Linear Submodular Maximization with Bandit Feedback, by Wenjing Chen et al.
Linear Submodular Maximization with Bandit Feedbackby Wenjing Chen, Victoria G. CrawfordFirst submitted to arxiv on:…
Summary of Hyperparameter Optimization For Randomized Algorithms: a Case Study on Random Features, by Oliver R. A. Dunbar et al.
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Featuresby Oliver R. A. Dunbar,…
Summary of Diffusion-bbo: Diffusion-based Inverse Modeling For Online Black-box Optimization, by Dongxia Wu et al.
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimizationby Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu,…
Summary of Efficient K-means with Individual Fairness Via Exponential Tilting, by Shengkun Zhu et al.
Efficient k-means with Individual Fairness via Exponential Tiltingby Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng…
Summary of Jacobian Descent For Multi-objective Optimization, by Pierre Quinton et al.
Jacobian Descent for Multi-Objective Optimizationby Pierre Quinton, Valérian ReyFirst submitted to arxiv on: 23 Jun…
Summary of Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction, by Kulunu Dharmakeerthi et al.
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reductionby Kulunu Dharmakeerthi, YoonHaeng Hur, Tengyuan…
Summary of Score: a 1d Reparameterization Technique to Break Bayesian Optimization’s Curse Of Dimensionality, by Joseph Chakar
SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization’s Curse of Dimensionalityby Joseph ChakarFirst submitted…
Summary of Joint Linked Component Analysis For Multiview Data, by Lin Xiao et al.
Joint Linked Component Analysis for Multiview Databy Lin Xiao, Luo XiaoFirst submitted to arxiv on:…
Summary of Gradient-based Learning in State-based Potential Games For Self-learning Production Systems, by Steve Yuwono et al.
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systemsby Steve Yuwono, Marlon Löppenberg, Dorothea…