Summary of Poisson Process For Bayesian Optimization, by Xiaoxing Wang et al.
Poisson Process for Bayesian Optimizationby Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu,…
Summary of Dual Interior Point Optimization Learning, by Michael Klamkin et al.
Dual Interior Point Optimization Learningby Michael Klamkin, Mathieu Tanneau, Pascal Van HentenryckFirst submitted to arxiv…
Summary of Lqer: Low-rank Quantization Error Reconstruction For Llms, by Cheng Zhang et al.
LQER: Low-Rank Quantization Error Reconstruction for LLMsby Cheng Zhang, Jianyi Cheng, George A. Constantinides, Yiren…
Summary of On the Role Of Initialization on the Implicit Bias in Deep Linear Networks, by Oria Gruber et al.
On the Role of Initialization on the Implicit Bias in Deep Linear Networksby Oria Gruber,…
Summary of Why Are Hyperbolic Neural Networks Effective? a Study on Hierarchical Representation Capability, by Shicheng Tan et al.
Why are hyperbolic neural networks effective? A study on hierarchical representation capabilityby Shicheng Tan, Huanjing…
Summary of Brain: Bayesian Reward-conditioned Amortized Inference For Natural Language Generation From Feedback, by Gaurav Pandey et al.
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedbackby Gaurav Pandey, Yatin Nandwani,…
Summary of Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning, by Tong Niu et al.
Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learningby Tong Niu, Weihao Zhang, Rong ZhaoFirst…
Summary of Diffstitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching, by Guanghe Li et al.
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitchingby Guanghe Li, Yixiang Shan, Zhengbang Zhu,…
Summary of Momentum Does Not Reduce Stochastic Noise in Stochastic Gradient Descent, by Naoki Sato and Hideaki Iiduka
Momentum Does Not Reduce Stochastic Noise in Stochastic Gradient Descentby Naoki Sato, Hideaki IidukaFirst submitted…
Summary of Sample Complexity Of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-cut, by Hongyu Cheng et al.
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cutby Hongyu Cheng,…