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	Expert with Clustering: Hierarchical Online Preference Learning Framework 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Oxford, United kingdom, July 15, 2024 - July 17, 2024 作者: Zhou, Tianyue; Cho, Jung-Hoon; Ardabili, Babak Rahimi; Tabkhi, Hamed; Wu, Cathy Adobe PDF(464Kb) \| 收藏 \| 浏览/下载：215/1 \| 提交时间：2024/10/11 Adversarial machine learning Federated learning Hierarchical clustering Recommender systems Clusterings Contextual banditti Eco-driving Eco-driving recommendation Expert advice Online preference learning Preference learning Regret bounds User information User's preferences
	Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Vienna, Austria, July 21, 2024 - July 27, 2024 作者: Yang, Yuchen; Shi, Yingdong; Wang, Cheems; Zhen, Xiantong; Shi, Yuxuan Adobe PDF(949Kb) \| 收藏 \| 浏览/下载：162/1 \| 提交时间：2024/10/11 Memory architecture Memory management Activation functions Activation memory Down-stream Fine tuning Large models Large-scales Memory overheads Memory usage Memory-sharing Scale parameter
	Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Edmonton, AB, Canada, June 30, 2024 - July 3, 2024 作者: Guo, Hengquan; Liu, Xin Adobe PDF(1646Kb) \| 收藏 \| 浏览/下载：281/3 \| 提交时间：2024/10/11 Constrained optimization Cost functions Lyapunov functions Lyapunov methods Regression analysis Constraint violation Contextual banditti Decision framework Function class General functions Off-line problems Optimisations Realizability conditions Slater condition Stochastics
	Conformal Prediction for Deep Classifier via Label Ranking 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Vienna, Austria, July 21, 2024 - July 27, 2024 作者: Huang, Jianguo; Xi, Huajun; Zhang, Linjun; Yao, Huaxiu; Qiu, Yue Adobe PDF(571Kb) \| 收藏 \| 浏览/下载：134/1 \| 提交时间：2024/10/11 Adaptive predictions Conformal predictions Coverage rate Ground truth Label rankings Machine learning models Novel algorithm Statistical framework Uncertainty Uncertainty informations
	Emergence of Segmentation with Minimalistic White-Box Transformers 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Hongkong, China, January 3, 2024 - January 6, 2024 作者: Yu, Yaodong; Chu, Tianzhe; Tong, Shengbang; Wu, Ziyang; Pai, Druv Adobe PDF(11992Kb) \| 收藏 \| 浏览/下载：189/0 \| 提交时间：2024/02/23 Network architecture Classification tasks Condition Downstream applications Learning mechanism Modeling architecture Proper design Property Supervised classification Supervised methods White box
	Guidance with Spherical Gaussian Constraint for Conditional Diffusion 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Vienna, Austria, July 21, 2024 - July 27, 2024 作者: Yang, Lingxiao; Ding, Shutong; Cai, Yifan; Yu, Jingyi; Wang, Jingya Adobe PDF(9403Kb) \| 收藏 \| 浏览/下载：242/8 \| 提交时间：2024/10/11 Constraint theory Digital differential analyzers Sampling Concentration phenomena Diffusion model Estimation errors Gaussians High-dimensional Loss functions Low bound Sample quality Sampling process Step size
	Humanoid Parkour Learning 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, 8TH CONFERENCE ON ROBOT LEARNING, CORL 2024, Munich, Germany, November 6, 2024 - November 9, 2024 作者: Zhuang, Ziwen; Yao, Shenzhe; Zhao, Hang 收藏 \| 浏览/下载：21/0 \| 提交时间：2025/03/28 Adversarial machine learning Biped locomotion Contrastive Learning Federated learning Microrobots Multipurpose robots Reinforcement learning Robot learning Active perceptions Grand Challenge Humanoid agile locomotion Humanoid robot Legged locomotion Quadruped Robots Reinforcement learnings Sim-to-real transfer Visuomotor control Visuomotors
	TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, 8TH CONFERENCE ON ROBOT LEARNING, CORL 2024, Munich, Germany, November 6, 2024 - November 9, 2024 作者: Ren, Junli; Liu, Yikai; Dai, Yingru; Long, Junfeng; Wang, Guijin 收藏 \| 浏览/下载：16/0 \| 提交时间：2025/03/28 Motion planning Off road vehicles Robot programming Avoiding obstacle Close loop External disturbances Multi-modal information Obstacles avoidance Open world Path planners Reinforcement learnings Task planning Waypoints
	GaussianPro: 3D Gaussian Splatting with Progressive Propagation 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Vienna, Austria, July 21, 2024 - July 27, 2024 作者: Cheng, Kai; Long, Xiaoxiao; Yang, Kaizhi; Yao, Yao; Yin, Wei 收藏 \| 浏览/下载：153/0 \| 提交时间：2024/10/11 3D modeling Rendering (computer graphics) Stereo image processing Gaussians High-fidelity Higher efficiency Large-scales Motion techniques Optimization quality Point-clouds Scale-scene Splatting Structure from motion
	Online Nonstochastic Control with Adversarial and Static Constraints 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Honolulu, HI, United states, July 23, 2023 - July 29, 2023 作者: Liu, Xin; Yang, Zixian; Ying, Lei Adobe PDF(1822Kb) \| 收藏 \| 浏览/下载：158/0 \| 提交时间：2023/11/10 Constrained optimization Linear control systems Machine learning Subroutines Constraint violation Control policy Control problems Cumulative cost Linear controls Non-stochastic Online convex optimizations State of the art Static constraints Sublinear

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