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T. Tony Cai

Identifiers

  • name variant T. Tony Cai 0.60 · backfill

Papers (65)

  1. Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier math.ST · 2019 · author #1
  2. Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices math.ST · 2019 · author #1
  3. High-dimensional Linear Discriminant Analysis: Optimality, Adaptive Algorithm, and Missing Data stat.ME · 2018 · author #1
  4. Statistical and Computational Limits for Sparse Matrix Detection math.ST · 2018 · author #1
  5. Testing Endogeneity with High Dimensional Covariates math.ST · 2016 · author #3
  6. Semi-supervised Inference: General Theory and Estimation of Means stat.ME · 2016 · author #3
  7. Optimal Estimation of Co-heritability in High-dimensional Linear Models stat.ME · 2016 · author #3
  8. Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices with Incomplete Data stat.ME · 2016 · author #1
  9. Inference via Message Passing on Partially Labeled Stochastic Block Models math.ST · 2016 · author #1
  10. Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting math.ST · 2016 · author #3
  11. Accuracy Assessment for High-dimensional Linear Regression math.ST · 2016 · author #1
  12. High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference stat.ME · 2015 · author #1
  13. Weighted False Discovery Rate Control in Large-Scale Multiple Testing stat.ME · 2015 · author #2
  14. Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity math.ST · 2015 · author #1
  15. Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow math.ST · 2015 · author #1
  16. Optimal Estimation of A Quadratic Functional and Detection of Simultaneous Signals math.ST · 2015 · author #1
  17. A simple and robust confidence interval for causal effects with possibly invalid instruments stat.ME · 2015 · author #2
  18. Structured Matrix Completion with Applications to Genomic Data Integration stat.ME · 2015 · author #2
  19. Optimal detection of weak positive latent dependence between two sequences of multiple tests stat.ME · 2014 · author #2
  20. Global testing against sparse alternatives in time-frequency analysis math.ST · 2014 · author #1
  21. Inference for High-dimensional Differential Correlation Matrices stat.ME · 2014 · author #1
  22. Rate-Optimal Detection of Very Short Signal Segments stat.ML · 2014 · author #1
  23. Discussion: "A significance test for the lasso" math.ST · 2014 · author #1
  24. Robust and computationally feasible community detection in the presence of arbitrary outlier nodes math.ST · 2014 · author #1
  25. Instrumental Variables Estimation with Some Invalid Instruments and its Application to Mendelian Randomization stat.ME · 2014 · author #3
  26. ROP: Matrix recovery via rank-one projections math.ST · 2013 · author #1
  27. A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion stat.ML · 2013 · author #1
  28. Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions math.ST · 2013 · author #1
  29. Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices cs.IT · 2013 · author #1
  30. Adaptive confidence intervals for regression functions under shape constraints math.ST · 2013 · author #1
  31. Compressed Sensing and Affine Rank Minimization under Restricted Isometry cs.IT · 2013 · author #1
  32. Matrix Completion via Max-Norm Constrained Optimization cs.LG · 2013 · author #1
  33. Optimal rates of convergence for sparse covariance matrix estimation math.ST · 2013 · author #1
  34. Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery cs.IT · 2013 · author #1
  35. Estimating Sparse Precision Matrix: Optimal Rates of Convergence and Adaptive Estimation math.ST · 2012 · author #1
  36. A reproducing kernel Hilbert space approach to functional linear regression math.ST · 2012 · author #2
  37. Optimal Detection For Sparse Mixtures cs.IT · 2012 · author #1
  38. Sparse PCA: Optimal rates and adaptive estimation math.ST · 2012 · author #1
  39. Adaptive covariance matrix estimation through block thresholding math.ST · 2012 · author #1
  40. Optimal hypothesis testing for high dimensional covariance matrices math.ST · 2012 · author #1
  41. Minimax and Adaptive Inference in Nonparametric Function Estimation stat.ME · 2012 · author #1
  42. Optimal estimation of the mean function based on discretely sampled functional data: Phase transition math.ST · 2012 · author #1
  43. Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional math.ST · 2011 · author #1
  44. Optimal rates of convergence for covariance matrix estimation math.ST · 2010 · author #1
  45. Nonparametric regression in exponential families math.ST · 2010 · author #2
  46. Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing math.ST · 2010 · author #1
  47. New Bounds for Restricted Isometry Constants cs.IT · 2009 · author #1
  48. Asymptotic equivalence and adaptive estimation for robust nonparametric regression math.ST · 2009 · author #1
  49. A data-driven block thresholding approach to wavelet estimation math.ST · 2009 · author #1
  50. Robust nonparametric estimation via wavelet median regression math.ST · 2008 · author #2
  51. Adaptive variance function estimation in heteroscedastic nonparametric regression math.ST · 2008 · author #1
  52. Comment: Microarrays, Empirical Bayes and the Two-Group Model stat.ME · 2008 · author #1
  53. On Recovery of Sparse Signals via $\ell_1$ Minimization cs.LG · 2008 · author #1
  54. Effect of mean on variance function estimation in nonparametric regression math.ST · 2008 · author #3
  55. Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$ math.ST · 2008 · author #1
  56. Optimal adaptive estimation of a quadratic functional math.ST · 2007 · author #1
  57. Prediction in functional linear regression math.ST · 2007 · author #1
  58. Estimation and confidence sets for sparse normal mixtures math.ST · 2006 · author #1
  59. Estimating the Null and the Proportion of non-Null effects in Large-scale Multiple Comparisons math.ST · 2006 · author #2
  60. Adaptive confidence balls math.ST · 2006 · author #1
  61. Nonquadratic estimators of a quadratic functional math.ST · 2006 · author #1
  62. On adaptive estimation of linear functionals math.ST · 2006 · author #1
  63. Nonparametric estimation over shrinking neighborhoods: Superefficiency and adaptation math.ST · 2005 · author #1
  64. An adaptation theory for nonparametric confidence intervals math.ST · 2005 · author #1
  65. Minimax estimation of linear functionals over nonconvex parameter spaces math.ST · 2004 · author #1

Mentions

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Frequent Coauthors