Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networksby Judah Goldfeder, Quinten…
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothnessby Xiaochuan Gong, Jie Hao, Mingrui…
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learningby Jannis Becktepe, Julian Dierkes,…
Challenges of Generating Structurally Diverse Graphsby Fedor Velikonivtsev, Mikhail Mironov, Liudmila ProkhorenkovaFirst submitted to arxiv…
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Modelsby Yu Zhou, Xingyu Wu, Jibin Wu, Liang…
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needsby Yan Sun, Li Shen, Dacheng TaoFirst…
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Designby Melis Ilayda Bal, Pier…
Autoregressive Policy Optimization for Constrained Allocation Tasksby David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li,…
A physics-driven sensor placement optimization methodology for temperature field reconstructionby Xu Liu, Wen Yao, Wei…
Dual Cone Gradient Descent for Training Physics-Informed Neural Networksby Youngsik Hwang, Dong-Young LimFirst submitted to…