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Poster
Tue 14:00 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu · Yuqing Zhu · Kamalika Chaudhuri · Yu-Xiang Wang
Poster
Tue 14:00 Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee · Desik Rengarajan · Dileep Kalathil · Srinivas Shakkottai
Poster
Tue 14:00 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis J. Alexander · Xiaoning Qian
Poster
Tue 14:00 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Tue 14:00 Active Online Learning with Hidden Shifting Domains
Yining Chen · Haipeng Luo · Tengyu Ma · Chicheng Zhang
Poster
Tue 14:00 Active Learning under Label Shift
Eric Zhao · Anqi Liu · Animashree Anandkumar · Yisong Yue
Oral
Tue 17:45 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang · Shengyang Sun · Roger Grosse
Poster
Tue 18:30 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang · Shengyang Sun · Roger Grosse
Poster
Tue 18:30 Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Tue 18:30 Graph Gamma Process Linear Dynamical Systems
Rahi Kalantari · Mingyuan Zhou
Poster
Tue 18:30 Mean-Variance Analysis in Bayesian Optimization under Uncertainty
Shogo Iwazaki · Yu Inatsu · Ichiro Takeuchi
Poster
Tue 18:30 Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda