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Workshop
Fri 16:11 DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
Poster
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang
Poster
Tue 9:00 Empirical Gateaux Derivatives for Causal Inference
Michael Jordan · Yixin Wang · Angela Zhou
Workshop
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
Workshop
Fri 14:45 Contributed Talk: Differentially Private Bias-Term only Fine-tuning of Foundation Models
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
Poster
Tue 14:00 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit · Huan Wang · Yingbo Zhou · Caiming Xiong
Poster
Wed 14:00 Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang · Wenchang Ma · Xiang Wang · Tat-Seng Chua
Poster
Wed 9:00 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang · Maggie Makar · Michael Sjoding · Finale Doshi-Velez · Jenna Wiens
Workshop
Differentially Private Bias-Term only Fine-tuning of Foundation Models
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
Poster
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
Poster
Thu 14:00 On Margin Maximization in Linear and ReLU Networks
Gal Vardi · Ohad Shamir · Nati Srebro
Poster
Wed 9:00 Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis · Ganesh Ramachandra Kini · Vala Vakilian · Tina Behnia