Showing results 7 to 26 of 41
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| Publication Date | Article Title | Author(s) |
| 2012 | Finding overlapping communities in social networks: Toward a rigorous approach | Arora, Sanjeev; Ge, R; Sachdeva, S; Schoenebeck, G |
| 2019 | Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks | Arora, Sanjeev; Du, Simon; Hu, Wei; Li, Zhiyuan; Wang, Ruosong |
| 2017 | Generalization and equilibrium in generative adversarial nets (GANs) | Arora, Sanjeev; Ge, R; Liang, Y; Ma, T; Zhang, Y |
| 2019 | Implicit Regularization in Deep Matrix Factorization | Arora, Sanjeev; Cohen, Nadav; Hu, Wei; Luo, Yuping |
| 2020 | InstaHide: Instance-hiding Schemes for Private Distributed Learning | Huang, Yangsibo; Song, Zhao; Li, Kai; Arora, Sanjeev |
| 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 |
