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18 Results
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Poster
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Wed 9:00 |
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Dheeraj Nagaraj · Xian Wu · Guy Bresler · Prateek Jain · Praneeth Netrapalli |
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Spotlight
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Wed 8:10 |
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Dheeraj Nagaraj · Xian Wu · Guy Bresler · Prateek Jain · Praneeth Netrapalli |
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Poster
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Mon 21:00 |
A Robust Functional EM Algorithm for Incomplete Panel Count Data Alexander Moreno · Zhenke Wu · Jamie Roslyn Yap · Cho Lam · David Wetter · Inbal Nahum-Shani · Walter Dempsey · James Rehg |
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Poster
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Tue 9:00 |
Synthetic Data Generators -- Sequential and Private Olivier Bousquet · Roi Livni · Shay Moran |
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Poster
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Thu 21:00 |
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding Rishi Sonthalia · Anna Gilbert |
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Poster
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Tue 21:00 |
Learning Disentangled Representations of Videos with Missing Data Armand Comas · Chi Zhang · Zlatan Feric · Octavia Camps · Rose Yu |
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Poster
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Mon 21:00 |
Self-Supervised Few-Shot Learning on Point Clouds Charu Sharma · Manohar Kaul |
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Poster
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Thu 21:00 |
Estimating Training Data Influence by Tracing Gradient Descent Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan |
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Spotlight
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Thu 20:00 |
Estimating Training Data Influence by Tracing Gradient Descent Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan |
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Poster
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Wed 9:00 |
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen · Tiancong Chen · Haoran Sun · Steven Wu · Mingyi Hong |
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Poster
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Wed 9:00 |
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data Aude Sportisse · Claire Boyer · Julie Josse |
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Poster
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Wed 21:00 |
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems Jiawei Zhang · Peijun Xiao · Ruoyu Sun · Zhiquan Luo |