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Poster
Wed 11:00 Statistical-Computational Trade-offs for Density Estimation
Anders Aamand · Alexandr Andoni · Justin Chen · Piotr Indyk · Shyam Narayanan · Sandeep Silwal · Haike Xu
Workshop
Towards Representative Social Choice Using Statistical Learning Theory
Tianyi (Alex) Qiu
Poster
Thu 11:00 Community Detection Guarantees using Embeddings Learned by Node2Vec
Andrew Davison · S. Carlyle Morgan · Owen G. Ward
Poster
Fri 11:00 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma · Chao Pan · S. Rasoul Etesami · Han Zhao · Olgica Milenkovic
Poster
Wed 16:30 Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee · Cong Ma
Workshop
Sample compression unleashed : New generalization bounds for real valued losses
Mathieu Bazinet · Valentina Zantedeschi · Pascal Germain
Poster
Wed 11:00 On the Saturation Effects of Spectral Algorithms in Large Dimensions
Weihao Lu · haobo Zhang · Yicheng Li · Qian Lin
Poster
Wed 11:00 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
Guhan Chen · Yicheng Li · Qian Lin
Poster
Fri 11:00 When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park · Nicole Yang · Nisha Chandramoorthy
Poster
Thu 11:00 Improving Adaptivity via Over-Parameterization in Sequence Models
Yicheng Li · Qian Lin
Oral
Wed 10:40 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila · Dylan J Foster · Nan Jiang · Akshay Krishnamurthy · Zak Mhammedi
Poster
Wed 16:30 Statistical Efficiency of Distributional Temporal Difference Learning
Yang Peng · Liangyu Zhang · Zhihua Zhang