485 results on '"Andrea Montanari"'
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52. Generating Random Networks Without Short Cycles.
53. A Statistical Model for Motifs Detection.
54. The Lasso with general Gaussian designs with applications to hypothesis testing.
55. The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training.
56. Underspecification Presents Challenges for Credibility in Modern Machine Learning.
57. Semidefinite programs on sparse random graphs and their application to community detection.
58. Asymptotic mutual information for the binary stochastic block model.
59. On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank One Perturbations of Gaussian Tensors.
60. Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems.
61. Convergence rates of sub-sampled Newton methods.
62. On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors.
63. Linearized two-layers neural networks in high dimension.
64. Surprises in High-Dimensional Ridgeless Least Squares Interpolation.
65. Analysis of a Two-Layer Neural Network via Displacement Convexity.
66. On the computational tractability of statistical estimation on amenable graphs.
67. Stabl: sparse and reliable biomarker discovery in predictive modeling of high-dimensional omic data
68. Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics.
69. Effective compression maps for torus-based cryptography.
70. Sparse PCA via Covariance Thresholding.
71. Sparse PCA via Covariance Thresholding.
72. A statistical model for tensor PCA.
73. Cone-Constrained Principal Component Analysis.
74. Information-theoretically optimal sparse PCA.
75. Privacy tradeoffs in predictive analytics.
76. Learning Mixtures of Linear Classifiers.
77. Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition.
78. Estimating LASSO Risk and Noise Level.
79. Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models.
80. The mutual information of a class of graphical channels.
81. Nearly optimal sample size in hypothesis testing for high-dimensional regression.
82. Conditional Random Fields, Planted Constraint Satisfaction and Entropy Concentration.
83. Accelerated time-of-flight mass spectrometry.
84. Linear bandits in high dimension and recommendation systems.
85. Guess Who Rated This Movie: Identifying Users Through Subspace Clustering.
86. Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing.
87. Subsampling at information theoretically optimal rates.
88. Universality in polytope phase transitions and iterative algorithms.
89. The set of solutions of random XORSAT formulae.
90. Distributed storage for intermittent energy sources: Control design and performance limits.
91. Robust max-product belief propagation.
92. Information theoretic limits on learning stochastic differential equations.
93. Localization from incomplete noisy distance measurements.
94. Compressed Sensing over ℓp-balls: Minimax mean square error.
95. Gossip PCA.
96. Fast Convergence of Natural Bargaining Dynamics in Exchange Networks.
97. Subexponential convergence for information aggregation on regular trees.
98. On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition.
99. A Mean Field View of the Landscape of Two-Layers Neural Networks.
100. The threshold for SDP-refutation of random regular NAE-3SAT.
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