Publication Date | Article Title | Author(s) |

2018 | A la carte embedding: Cheap but effective induction of semantic feature vectors | *Khodak, M; Saunshi, N; Liang, Y; Ma, T; Stewart, Brandon; et al* |

2012 | Learning topic models - Going beyond SVD | *Arora, Sanjeev; Ge, R; Moitra, A* |

2018 | Learning topic models -- provably and efficiently | *Arora, Sanjeev; Ge, Rong; Halpern, Yoni; Mimno, David; Moitra, Ankur; et al* |

2012 | Local Versus Global Properties of Metric Spaces | *Arora, Sanjeev; Lovász, László; Newman, Ilan; Rabani, Yuval; Rabinovich, Yuri; et al* |

Jun-2017 | Mapping between fMRI responses to movies and their natural language annotations | *Vodrahalli, Kiran; Chen, Po-Hsuan; Liang, Yingyu; Baldassano, Christopher; Chen, Janice; et al* |

2018 | Mathematics of machine learning: An introduction | *Arora, Sanjeev* |

2012 | Message-Passing Algorithms and Improved LP Decoding | *Arora, Sanjeev; Daskalakis, Constantinos; Steurer, David* |

2014 | New algorithms for learning incoherent and overcomplete dictionaries | *Arora, Sanjeev; Ge, R; Moitra, A* |

2019 | On Exact Computation with an Infinitely Wide Neural Net | *Arora, Sanjeev; Du, Simon S; Hu, Wei; Li, Zhiyuan; Salakhutdinov, Russ R; et al* |

2018 | On the optimization of deep networks: Implicit acceleration by overparameterization | *Arora, Sanjeev; Cohen, N; Hazan, Elad* |

2020 | Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality | *Zhang, Yi; Plevrakis, Orestis; Du, Simon S; Li, Xingguo; Song, Zhao; et al* |

2013 | A Practical Algorithm for Topic Modeling with Provable Guarantees | *Arora, Sanjeev; Ge, Rong; Halpern, Yonatan; Mimno, David; Moitra, Ankur; et al* |

2016 | Provable algorithms for inference in topic models | *Arora, Sanjeev; Ge, R; Koehler, F; Ma, T; Moitra, A* |

2014 | Provable bounds for learning some deep representations | *Arora, Sanjeev; Bhaskara, A; Ge, R; Ma, T* |

2015 | Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders | *Arora, Sanjeev; Ge, Rong; Moitra, Ankur; Sachdeva, Sushant* |

2012 | Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders | *Arora, Sanjeev; Ge, Rong; Moitra, Ankur; Sachdeva, Sushant* |

2017 | Provable learning of noisy-or networks | *Arora, Sanjeev; Ge, R; Ma, T; Risteski, A* |

2020 | Provable Representation Learning for Imitation Learning via Bi-level Optimization | *Arora, Sanjeev; Du, Simon; Kakade, Sham; Luo, Yuping; Saunshi, Nikunj* |

2020 | Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate | *Li, Zhiyuan; Lyu, Kaifeng; Arora, Sanjeev* |

2020 | A Sample Complexity Separation between Non-Convex and Convex Meta-Learning | *Saunshi, Nikunj; Zhang, Yi; Khodak, Mikhail; Arora, Sanjeev* |