Summary of Near-optimal Algorithm For Non-stationary Kernelized Bandits, by Shogo Iwazaki and Shion Takeno
Near-Optimal Algorithm for Non-Stationary Kernelized Banditsby Shogo Iwazaki, Shion TakenoFirst submitted to arxiv on: 21…
Summary of Ldadam: Adaptive Optimization From Low-dimensional Gradient Statistics, by Thomas Robert and Mher Safaryan and Ionut-vlad Modoranu and Dan Alistarh
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statisticsby Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan AlistarhFirst…
Summary of Enabling Asymmetric Knowledge Transfer in Multi-task Learning with Self-auxiliaries, by Olivier Graffeuille et al.
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliariesby Olivier Graffeuille, Yun Sing Koh, Joerg…
Summary of Karush-kuhn-tucker Condition-trained Neural Networks (kkt Nets), by Shreya Arvind et al.
Karush-Kuhn-Tucker Condition-Trained Neural Networks (KKT Nets)by Shreya Arvind, Rishabh Pomaje, Rajshekhar V BhatFirst submitted to…
Summary of Offline Reinforcement Learning For Job-shop Scheduling Problems, by Imanol Echeverria et al.
Offline reinforcement learning for job-shop scheduling problemsby Imanol Echeverria, Maialen Murua, Roberto SantanaFirst submitted to…
Summary of Traffic Matrix Estimation Based on Denoising Diffusion Probabilistic Model, by Xinyu Yuan et al.
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Modelby Xinyu Yuan, Yan Qiao, Pei Zhao,…
Summary of S-cfe: Simple Counterfactual Explanations, by Shpresim Sadiku et al.
S-CFE: Simple Counterfactual Explanationsby Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan, Sebastian PokuttaFirst submitted to…
Summary of A Comprehensive Survey Of Direct Preference Optimization: Datasets, Theories, Variants, and Applications, by Wenyi Xiao et al.
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applicationsby Wenyi Xiao, Zechuan…
Summary of In-trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates, by Shicheng Liu et al.
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminatesby Shicheng Liu, Minghui ZhuFirst…
Summary of Improving Parallel Program Performance with Llm Optimizers Via Agent-system Interface, by Anjiang Wei et al.
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaceby Anjiang Wei, Allen Nie, Thiago…