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44 Results
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Poster
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Thu 9:00 |
Detection as Regression: Certified Object Detection with Median Smoothing Ping-yeh Chiang · Michael Curry · Ahmed Abdelkader · Aounon Kumar · John Dickerson · Tom Goldstein |
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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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Workshop
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Session A, Poster 27: A Seq2Seq Approach To Symbolic Regression Tommaso Bendinelli |
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Workshop
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Decoding the genome of cement by Gaussian Process Regression Yu Song · Yongzhe Wang · Kaixin Wang · Mathieu Bauchy |
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Workshop
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Short-term prediction of photovoltaic power generation using Gaussian process regression Yahya Al Lawati |
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Workshop
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Fri 15:10 |
Spotlight Talk 1: Quantifying risk-fairness trade-off in regression Nicolas Schreuder · Evgenii Chzhen |
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Poster
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Wed 9:00 |
A convex optimization formulation for multivariate regression Yunzhang Zhu |
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Poster
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Thu 9:00 |
Critic Regularized Regression Ziyu Wang · Alexander Novikov · Konrad Zolna · Josh Merel · Jost Tobias Springenberg · Scott Reed · Bobak Shahriari · Noah Siegel · Caglar Gulcehre · Nicolas Heess · Nando de Freitas |
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Poster
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Wed 9:00 |
Sample complexity and effective dimension for regression on manifolds Andrew McRae · Justin Romberg · Mark Davenport |
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Poster
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Wed 9:00 |
Fair regression with Wasserstein barycenters Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil |
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Poster
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Wed 21:00 |
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark |
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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 |