Results

Poster	Wed 14:00	Stochastic Multiple Target Sampling Gradient Descent Hoang Phan · Ngoc Tran · Trung Le · Toan Tran · Nhat Ho · Dinh Phung
Poster	Tue 14:00	Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits Tongyang Li · Ruizhe Zhang
Poster	Wed 14:00	Coresets for Relational Data and The Applications Jiaxiang Chen · Qingyuan Yang · Ruomin Huang · Hu Ding
Poster	Wed 9:00	Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution Julien Cornebise · Ivan Oršolić · Freddie Kalaitzis
Poster	Thu 14:00	Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization Caio Kalil Lauand · Sean Meyn
Poster	Wed 9:00	Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery Wiebke Günther · Urmi Ninad · Jonas Wahl · Jakob Runge
Poster	Tue 9:00	Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization Yuri Kinoshita · Taiji Suzuki
Poster	Wed 14:00	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang · Boyi Liu · Kaixin Wang · Vincent Tan · Zhuoran Yang · Zhaoran Wang
Poster	Wed 9:00	Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection Abir De · Soumen Chakrabarti
Poster	Thu 9:00	Approximation with CNNs in Sobolev Space: with Applications to Classification Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang
Poster		TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning Konstantin Sozykin · Andrei Chertkov · Roman Schutski · Anh-Huy Phan · Andrzej S CICHOCKI · Ivan Oseledets
Poster		Estimating graphical models for count data with applications to single-cell gene network Feiyi Xiao · Junjie Tang · Huaying Fang · Ruibin Xi