Dai, Ben

8 publications

ICML 2025 EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification Ben Dai

NeurIPS 2025 RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation Zixun Wang, Ben Dai

CLeaR 2024 Inference of Nonlinear Causal Effects with Application to TWAS with GWAS Summary Data Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen

JMLR 2023 RankSEG: A Consistent Ranking-Based Framework for Segmentation Ben Dai, Chunlin Li

NeurIPS 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence Ben Dai, Yixuan Qiu

TMLR 2023 Supervised Knowledge May Hurt Novel Class Discovery Performance Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang

NeurIPSW 2022 A Closer Look at Novel Class Discovery from the Labeled Set Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang

JMLR 2019 Smooth Neighborhood Recommender Systems Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu