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11 Results

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Poster
Wed 11:00 Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
Workshop
Winning Tickets from Random Initialization: Aligning Masks for Sparse Training
Rohan Jain · Mohammed Adnan · Ekansh Sharma · Yani Ioannou
Workshop
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
Workshop
Constrained Multi-objective Bayesian Optimization
Diantong Li · Fengxue Zhang · Chong Liu · Yuxin Chen
Poster
Thu 11:00 Random Function Descent
Felix Benning · Leif Döring
Workshop
ROSA: An Optimization Algorithm for Multi-Modal Derivative-Free Functions in High Dimensions
Ilija Ilievski · Wenyu Wang · Christine Shoemaker
Poster
Thu 11:00 Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
Mingming Ha · Taoxuewen · Wenfang Lin · QIONGXU MA · Wujiang Xu · Linxun Chen
Poster
Wed 16:30 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
Hongjie Chen · Jingqiu Ding · Yiding Hua · David Steurer
Poster
Thu 11:00 Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
Shima Adeli · Mojtaba Tefagh · Gourav Jhanwar · Masoud Zarepisheh
Workshop
Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
Yijun Dong · Xiang Pan · Viet Hoang Phan · Qi Lei
Poster
Fri 11:00 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
Abdurakhmon Sadiev · Grigory Malinovsky · Eduard Gorbunov · Igor Sokolov · Ahmed Khaled · Konstantin Burlachenko · Peter Richtarik