Showing results 23 to 41 of 41
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| Publication Date | Article Title | Author(s) |
| 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 |
| 2017 | A Simple but Tough-to-Beat Baseline for Sentence Embeddings | Arora, Sanjeev; Liang, Yingyu; Ma, Tengyu |
| 2015 | Simple, efficient, and neural algorithms for sparse coding | Arora, Sanjeev; Ge, R; Ma, T; Moitra, A |
| 2018 | Stronger generalization bounds for deep nets via a compression approach | Arora, Sanjeev; Ge, R; Neyshabur, B; Zhang, Y |
| Nov-2015 | Subexponential Algorithms for Unique Games and Related Problems | Arora, Sanjeev; Barak, Boaz; Steurer, David |
| 2021 | Technical perspective: Why don't today's deep nets overfit to their training data? | Arora, Sanjeev |
| 2012 | Testing permanent oracles - Revisited | Arora, Sanjeev; Bhattacharyya, A; Manokaran, R; Sachdeva, S |
| 2019 | Theoretical Analysis of Auto Rate-Tuning by Batch Normalization | Arora, Sanjeev; Li, Zhiyuan; Lyu, Kaifeng |
| 2019 | A Theoretical Analysis of Contrastive Unsupervised Representation Learning | Saunshi, Nikunj; Plevrakis, Orestis; Arora, Sanjeev; Khodak, Mikhail; Khandeparkar, Hrishikesh |
| 2013 | Towards a better approximation for SPARSEST CUT? | Arora, Sanjeev; Ge, R; Sinop, AK |
| 2014 | The work of Subhash Khot | Arora, Sanjeev |
