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Poster
Thu 9:00 Near-Optimal Private and Scalable k-Clustering
Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
Workshop
Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization
Abel Peirson · Ehsan Amid · Yatong Chen · Vladimir Feinberg · Manfred Warmuth · Rohan Anil
Poster
Tue 9:00 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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
Workshop
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
Poster
Tue 14:00 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
Oren Mangoubi · Nisheeth Vishnoi
Poster
Thu 9:00 Near-Optimal Correlation Clustering with Privacy
Vincent Cohen-Addad · Chenglin Fan · Silvio Lattanzi · Slobodan Mitrovic · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski
Poster
Tue 14:00 Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
Poster
Para-CFlows: Ck-universal diffeomorphism approximators as superior neural surrogates
Junlong Lyu · Zhitang Chen · Chang Feng · Wenjing Cun · Shengyu Zhu · Yanhui Geng · ZHIJIE XU · Chen Yongwei