Summary of Asymptotically Optimal Regret For Black-box Predict-then-optimize, by Samuel Tan and Peter I. Frazier
Asymptotically Optimal Regret for Black-Box Predict-then-Optimizeby Samuel Tan, Peter I. FrazierFirst submitted to arxiv on:…
Asymptotically Optimal Regret for Black-Box Predict-then-Optimizeby Samuel Tan, Peter I. FrazierFirst submitted to arxiv on:…
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performanceby…
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processingby Viet Anh…
Learning Physical Simulation with Message Passing Transformerby Zeyi Xu, Yifei LiFirst submitted to arxiv on:…
Generative modeling of density regression through tree flowsby Zhuoqun Wang, Naoki Awaya, Li MaFirst submitted…
Stabilizing Extreme Q-learning by Maclaurin Expansionby Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya HaradaFirst submitted…
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecastingby Qi Xiong, Kai Tang,…
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learningby Zheng Huang, Qihui Yang,…
Neuro-Symbolic Temporal Point Processesby Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang LiFirst submitted…
A Universal Class of Sharpness-Aware Minimization Algorithmsby Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka,…