Showing 1–20 of 121 results
/ Date/ Name
Feb 2, 2019Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function (PDF)Feb 3, 2021On the Approximation Power of Two-Layer Networks of Random ReLUsSep 1, 2019Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingApr 30, 2012A Spectral Algorithm for Latent Dirichlet AllocationSep 7, 2014The Large Margin Mechanism for Differentially Private MaximizationSep 24, 2012Learning Topic Models and Latent Bayesian Networks Under Expansion ConstraintsOct 2, 2014Scalable Nonlinear Learning with Adaptive Polynomial ExpansionsAug 26, 2016Global analysis of Expectation Maximization for mixtures of two GaussiansMar 22, 2011Parallel Online LearningFeb 8, 2009Multi-Label Prediction via Compressed SensingNov 26, 2008A Spectral Algorithm for Learning Hidden Markov ModelsJan 27, 2024Distribution-Specific Auditing For Subgroup FairnessFeb 9, 2018Certified Robustness to Adversarial Examples with Differential PrivacyJun 11, 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets CannotFeb 4, 2018Non-Gaussian information from weak lensing data via deep learningJun 13, 2011Efficient Optimal Learning for Contextual BanditsJul 21, 2016Greedy bi-criteria approximations for $k$-medians and $k$-meansJan 23, 2026Group-realizable multi-group learning by minimizing empirical riskSep 10, 2025Fast attention mechanisms: a tale of parallelismOct 18, 2025Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods