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Poster
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang · Molei Tao · Yongxin Chen
Poster
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
Jing Zhou · Zongyu Lin · Yanan Zheng · Jian Li · Zhilin Yang
Poster
Agnostic Learning of General ReLU Activation Using Gradient Descent
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein · Adam Fisch · Regina Barzilay · Tommi Jaakkola
Poster
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
Yan Yan · Yuhong Guo
Poster
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma
Poster
Wed 2:30 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
Andrew Patterson · Adam White · Martha White
Oral
Mon 1:50 Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine
Poster
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
Han Guo · Philip Greengard · Hongyi Wang · Andrew Gelman · Yoon Kim · Eric Xing
Poster
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
Yuan Yang · Faramarz Fekri · James Kerce · Ali Payani
Poster
Wed 7:30 Packed Ensembles for efficient uncertainty estimation
Olivier Laurent · Adrien Lafage · Enzo Tartaglione · Geoffrey Daniel · Jean-marc Martinez · Andrei Bursuc · Gianni Franchi