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Poster
Tue 9:00 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan · Zirui Liu · Peihao Wang · Wenqing Zheng · Kaixiong Zhou · Tianlong Chen · Xia Hu · Zhangyang Wang
Poster
Thu 14:00 Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding · Tahseen Rabbani · Bang An · Evan Wang · Furong Huang
Poster
Thu 9:00 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit
Poster
Wed 14:00 Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
Poster
Tue 9:00 Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing
Chao Shen · Yu-Ting Lin · Hau-Tieng Wu
Poster
Tue 9:00 Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
Poster
Thu 9:00 WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Shunyu Yao · Howard Chen · John Yang · Karthik Narasimhan
Poster
Thu 14:00 NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan
Poster
Hierarchical Graph Transformer with Adaptive Node Sampling
ZAIXI ZHANG · Qi Liu · Qingyong Hu · Chee-Kong Lee
Poster
Tue 9:00 Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Andrea Tirinzoni · Matteo Papini · Ahmed Touati · Alessandro Lazaric · Matteo Pirotta
Poster
Wed 14:00 Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu · Hao Liu · Aditya Grover · Pieter Abbeel
Poster
Thu 9:00 Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky · Nathan Lichtlé · Xiaomeng Yang · Brandon Amos · Jakob Foerster