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Workshop
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Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels shift?
Lingjiao Chen · Matei Zaharia · James Zou
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Poster
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Tue 14:00
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Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Hideaki Kim · Taichi Asami · Hiroyuki Toda
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Workshop
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Estimation of prediction error with known covariate shift
Hui Xu · Robert Tibshirani
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Poster
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Wed 9:00
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New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath · Argyris Mouzakis · Vikrant Singhal
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Poster
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Tue 9:00
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Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
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Poster
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Wed 14:00
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Differentially Private Covariance Revisited
Wei Dong · Yuting Liang · Ke Yi
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Poster
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Thu 14:00
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Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
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Poster
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Tue 14:00
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Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
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Workshop
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A Vision for Certifiable Perception: from Outlier-Robust Estimation to Self-Supervised Learning - Luca Carlone & Rajat Talak
Hamidreza Kasaei
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Poster
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Tue 14:00
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Robust Neural Posterior Estimation and Statistical Model Criticism
Daniel Ward · Patrick Cannon · Mark Beaumont · Matteo Fasiolo · Sebastian Schmon
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Poster
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Thu 14:00
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Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
Pranjal Awasthi · Abhimanyu Das · Weihao Kong · Rajat Sen
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Poster
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Tue 14:00
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Hierarchical Normalization for Robust Monocular Depth Estimation
Chi Zhang · Wei Yin · Billzb Wang · Gang Yu · BIN FU · Chunhua Shen
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