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Matrix completion aims to estimate missing entries in a data matrix, using the assumption of a low-complexity structure (e.g., low rank) so that imputation is possible.
Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity
Portnoy, S. (1988) · 1988
Earlier work this paper cites.
On parameters of increasing dimensions
He, X. and Shao, Q.-M. (2000) · 2000
Earlier work this paper cites.
Rank minimization and applications in system theory
Fazel, M., Hindi, H., and Boyd, S. (2004) · 2004
Earlier work this paper cites.
Fast maximum margin matrix factorization for collaborative prediction
Rennie, J. D. and Srebro, N. (2005) · 2005
Earlier work this paper cites.
Rank, trace-norm and max-norm
Srebro, N. and Shraibman, A. (2005) · 2005
Earlier work this paper cites.
Algorithmic learning in a random world
Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
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Conformal inference of counterfactuals and individual treatment effects
Lei, L. and Candès, E. J. (2020) · 2006
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A tutorial on conformal prediction
Shafer, G. and Vovk, V. (2008) · 2008
Earlier work this paper cites.
Uncertainty sets for image classifiers using conformal prediction
Angelopoulos, A., Bates, S., Malik, J., and Jordan, M. I. (2020) · 2009
Earlier work this paper cites.
Matrix completion with noise
Candes, E. J. and Plan, Y. (2010) · 2010
Earlier work this paper cites.
Matrix completion from a few entries
Keshavan, R. H., Montanari, A., and Oh, S. (2010) · 2010
Earlier work this paper cites.
Concentration-based guarantees for low-rank matrix reconstruction
Foygel, R. and Srebro, N. (2011) · 2011
Earlier work this paper cites.
Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
Koltchinskii, V., Lounici, K., and Tsybakov, A. B. (2011) · 2011
Earlier work this paper cites.
Gee analysis of clustered binary data with diverging number of covariates
Wang, L. (2011) · 2011
Earlier work this paper cites.
Exact matrix completion via convex optimization
Candes, E. and Recht, B. (2012) · 2012
Earlier work this paper cites.
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
Negahban, S. and Wainwright, M. J. (2012) · 2012
Earlier work this paper cites.
Low-rank matrix completion using alternating minimization
Jain, P., Netrapalli, P., and Sanghavi, S. (2013) · 2013
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1-bit matrix completion
Davenport, M. A., Plan, Y., Van Den Berg, E., and Wootters, M. (2014) · 2014
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Inductive matrix completion for predicting gene–disease associations
Natarajan, N. and Dhillon, I. S. (2014) · 2014
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Categorical matrix completion
Cao, Y. and Xie, Y. (2015) · 2015
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Cross-conformal predictors
Vovk, V. (2015) · 2015
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Geometric inference for general high-dimensional linear inverse problems
Cai, T. T., Liang, T., and Rakhlin, A. (2016) · 2016
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Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candes, E. (2020) · 2020
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Matrix completion with quantified uncertainty through low rank gaussian copula
Zhao, Y. and Udell, M. (2020) · 2020
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Matrix completion methods for causal panel data models
Athey, S., Bayati, M., Doudchenko, N., Imbens, G., and Khosravi, K. (2021) · 2021
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Matrix completion, counterfactuals, and factor analysis of missing data
Bai, J. and Ng, S. (2021) · 2021
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Predictive inference with the jackknife+
Barber, R. F., Candès, E. J., Ramdas, A., and Tibshirani, R. J. (2021) · 2021
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Conformalized survival analysis
Candès, E. J., Lei, L., and Ren, Z. (2021) · 2021
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Chen, W., Wang, Z., Ha, W., and Barber, R. F. (2016) · 2016
Cited alongside, same era.
Guaranteed matrix completion via non-convex factorization
Sun, R. and Luo, Z.-Q. (2016) · 2016
Cited alongside, same era.
Robust synthetic control
Amjad, M., Shah, D., and Shen, D. (2018) · 2018
Cited alongside, same era.
Adaptive confidence sets for matrix completion
Carpentier, A., Klopp, O., Löffler, M., and Nickl, R. (2018) · 2018
Cited alongside, same era.
Discretized conformal prediction for efficient distribution-free inference
Chen, W., Chun, K.-J., and Barber, R. F. (2018) · 2018
Cited alongside, same era.
Distribution-free predictive inference for regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2018) · 2018
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An exact and robust conformal inference method for counterfactual and synthetic controls
Chernozhukov, V., Wüthrich, K., and Zhu, Y. (2021) · 2021
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Statistical inferences of linear forms for noisy matrix completion
Xia, D. and Yuan, M. (2021) · 2021
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Conformal prediction beyond exchangeability
Barber, R. F., Candes, E. J., Ramdas, A., and Tibshirani, R. J. (2022) · 2022
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Uncertainty quantification for low-rank matrix completion with heterogeneous and sub-exponential noise
Farias, V., Li, A. A., and Peng, T. (2022) · 2022
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The fundamentals of heavy tails: Properties, emergence, and estimation
Nair, J., Wierman, A., and Zwart, B. (2022) · 2022
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Optimal tuning-free convex relaxation for noisy matrix completion
Yang, Y. and Ma, C. (2022) · 2022
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Statistical inference for noisy incomplete binary matrix
Chen, Y., Li, C., Ouyang, J., and Xu, G. (2023) · 2023
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Sensitivity analysis of individual treatment effects: A robust conformal inference approach
Jin, Y., Ren, Z., and Candès, E. J. (2023) · 2023
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Design-based conformal prediction
Wieczorek, J. (2023) · 2023
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The power of convex relaxation: Near-optimal matrix completion
Candès, E. J. and Tao, T. (2010) · 2080
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