448 results on '"Aarti Singh"'
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52. Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions.
53. Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.
54. Near-optimal discrete optimization for experimental design: a regret minimization approach.
55. PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review.
56. Integrating Rankings into Quantized Scores in Peer Review.
57. On Testing for Biases in Peer Review.
58. PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review.
59. Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent.
60. Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
61. Significance of Human Rights Education in Developing Nations
62. India’s Hostility to Internationalize Criminal Justice- A Prejudiced Reluctance?
63. Paradox of Authority and the International Criminal Court
64. Sovereignty of the International Criminal Court
65. International Humanitarian Law and International Criminal Tribunals
66. Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates.
67. How Many Samples are Needed to Estimate a Convolutional Neural Network?
68. Stochastic Zeroth-order Optimization in High Dimensions.
69. Interactive Linear Regression with Pairwise Comparisons.
70. Linear Quantization by Effective-Resistance Sampling.
71. Local White Matter Architecture Defines Functional Brain Dynamics.
72. Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.
73. Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima.
74. Preference-based Reinforcement Learning with Finite-Time Guarantees.
75. Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates.
76. A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data.
77. A clustered neighbourhood consensus algorithm for a generic agent interaction protocol.
78. Art Therapy and Mental Health in Education: With special reference to the Expressive Arts
79. Vulnerability to Mental Health Problems in Indian Population during Lockdown amidst COVID-19 Pandemic: An Alarm not to Snooze
80. Computationally Efficient Robust Sparse Estimation in High Dimensions.
81. On the Power of Truncated SVD for General High-rank Matrix Estimation Problems.
82. Noise-Tolerant Interactive Learning Using Pairwise Comparisons.
83. Gradient Descent Can Take Exponential Time to Escape Saddle Points.
84. Hypothesis Transfer Learning via Transformation Functions.
85. Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.
86. Near-Optimal Design of Experiments via Regret Minimization.
87. Gradient Descent Provably Optimizes Over-parameterized Neural Networks.
88. Extreme Compressive Sampling for Covariance Estimation.
89. A clustering-based recommendation engine for restaurants.
90. Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions.
91. Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment.
92. A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions.
93. A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences.
94. Smooth Bandit Optimization: Generalization to Hölder Space.
95. Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.
96. Data Poisoning Attacks on Factorization-Based Collaborative Filtering.
97. Active Learning Algorithms for Graphical Model Selection.
98. Graph Connectivity in Noisy Sparse Subspace Clustering.
99. Signal detection on graphs: Bernoulli noise model.
100. Representations of piecewise smooth signals on graphs.
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