|
Workshop
|
|
Learning to Continually Learn with Topological Regularization
Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen
|
|
|
Workshop
|
|
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
|
|
|
Workshop
|
Fri 9:09
|
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
|
|
|
Poster
|
Tue 9:00
|
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
|
|
|
Workshop
|
Fri 9:30
|
Semi-Supervised Learning and Data Augmentation for Wearable-based Health Monitoring System in the Wild
Han Yu · Akane Sano
|
|
|
Affinity Workshop
|
|
Crop Recommendation for Precision Agriculture using Machine Learning techniques – Towards a More Sustainable Agriculture.
Damilola Adegoke
|
|
|
Workshop
|
|
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Xinyu Liang · Hao Wang
|
|
|
Poster
|
Tue 14:00
|
Private Synthetic Data for Multitask Learning and Marginal Queries
Giuseppe Vietri · Cedric Archambeau · Sergul Aydore · William Brown · Michael Kearns · Aaron Roth · Ankit Siva · Shuai Tang · Steven Wu
|
|
|
Poster
|
Thu 14:00
|
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Alessio Mazzetto · Cristina Menghini · Andrew Yuan · Eli Upfal · Stephen Bach
|
|
|
Poster
|
Tue 9:00
|
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
|
|
|
Poster
|
Wed 9:00
|
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang · Jimeng Sun
|
|
|
Workshop
|
Fri 8:50
|
A Data-efficient Multiobjective Machine Learning Method For 3D-printed Architected Materials Design
Bo Peng · Ye Wei · Yu Qin · Jiabao Dai · Liuliu Han · Yue Li · Peng Wen
|
|
