Summary of Hawkeye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function, by Mushir Akhtar et al.
HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Functionby Mushir Akhtar, M. Tanveer,…
HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Functionby Mushir Akhtar, M. Tanveer,…
AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Citiesby…
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithmby Wei Yao, Chengming Yu,…
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptationby Vishal Dey, Xia NingFirst submitted…
Bayesian optimization as a flexible and efficient design framework for sustainable process systemsby Joel A.…
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…
Toward the Identifiability of Comparative Deep Generative Modelsby Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan…
Simple Policy Optimizationby Zhengpeng Xie, Qiang Zhang, Fan Yang, Marco Hutter, Renjing XuFirst submitted to…
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clusteringby Zisen Kong, Zhiqiang…
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Gamesby Yang Cai, Haipeng Luo, Chen-Yu…