Research output per year
Research output per year
- 27 results
Search results
-
2024
A QUADRATIC SYNCHRONIZATION RULE FOR DISTRIBUTED DEEP LEARNING
Gu, X., Lyu, K., Arora, S., Zhang, J. & Huang, L., 2024.Research output: Contribution to conference › Paper › peer-review
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SKILL-MIX: A FLEXIBLE AND EXPANDABLE FAMILY OF EVALUATIONS FOR AI MODELS
Yu, D., Kaur, S., Gupta, A., Brown-Cohen, J., Goyal, A. & Arora, S., 2024.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations -
2023
UNDERSTANDING INFLUENCE FUNCTIONS AND DATAMODELS VIA HARMONIC ANALYSIS
Saunshi, N., Gupta, A., Braverman, M. & Arora, S., 2023.Research output: Contribution to conference › Paper › peer-review
4 Scopus citations -
2022
ON PREDICTING GENERALIZATION USING GANS
Zhang, Y., Gupta, A., Saunshi, N. & Arora, S., 2022.Research output: Contribution to conference › Paper › peer-review
2 Scopus citations -
WHAT HAPPENS AFTER SGD REACHES ZERO LOSS? -A MATHEMATICAL FRAMEWORK
Li, Z., Wang, T. & Arora, S., 2022.Research output: Contribution to conference › Paper › peer-review
22 Scopus citations -
2021
A MATHEMATICAL EXPLORATION OF WHY LANGUAGE MODELS HELP SOLVE DOWNSTREAM TASKS
Saunshi, N., Malladi, S. & Arora, S., 2021.Research output: Contribution to conference › Paper › peer-review
21 Scopus citations -
AUCTION LEARNING AS A TWO-PLAYER GAME
Rahme, J., Jelassi, S. & Weinberg, S. M., 2021.Research output: Contribution to conference › Paper › peer-review
18 Scopus citations -
WHY ARE CONVOLUTIONAL NETS MORE SAMPLE-EFFICIENT THAN FULLY-CONNECTED NETS?
Li, Z., Zhang, Y. & Arora, S., 2021.Research output: Contribution to conference › Paper › peer-review
13 Scopus citations -
2020
AN EXPONENTIAL LEARNING RATE SCHEDULE FOR DEEP LEARNING
Li, Z. & Arora, S., 2020.Research output: Contribution to conference › Paper › peer-review
34 Scopus citations -
HARNESSING THE POWER OF INFINITELY WIDE DEEP NETS ON SMALL-DATA TASKS
Arora, S., Du, S. S., Li, Z., Salakhutdinov, R., Wang, R. & Yu, D., 2020.Research output: Contribution to conference › Paper › peer-review
59 Scopus citations -
2019
A convergence analysis of gradient descent for deep linear neural networks
Arora, S., Golowich, N., Cohen, N. & Hu, W., 2019.Research output: Contribution to conference › Paper › peer-review
74 Scopus citations -
A convergence analysis of gradient descent for deep linear neural networks
Arora, S., Golowich, N., Cohen, N. & Hu, W., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
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A simple but tough-to-beat baseline for sentence embeddings
Arora, S., Liang, Y. & Ma, T., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
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Theoretical analysis of auto rate-tuning by batch normalization
Arora, S., Lyu, K. & Li, Z., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
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Theoretical analysis of auto rate-tuning by batch normalization
Arora, S., Lyu, K. & Li, Z., 2019.Research output: Contribution to conference › Paper › peer-review
43 Scopus citations -
2018
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs
Arora, S., Khodak, M., Saunshi, N. & Vodrahalli, K., 2018.Research output: Contribution to conference › Paper › peer-review
26 Scopus citations -
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs
Arora, S., Khodak, M., Saunshi, N. & Vodrahalli, K., Jan 1 2018.Research output: Contribution to conference › Paper › peer-review
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DO GANS LEARN THE DISTRIBUTION? SOME THEORY AND EMPIRICS
Arora, S., Risteski, A. & Zhang, Y., 2018.Research output: Contribution to conference › Paper › peer-review
95 Scopus citations -
Statistical sparse online regression: A diffusion approximation perspective
Fan, J., Gong, W., Li, C. J. & Sun, Q., Jan 1 2018, p. 1017-1026. 10 p.Research output: Contribution to conference › Paper › peer-review
13 Scopus citations -
2017
A simple but tough-to-beat baseline for sentence embeddings
Arora, S., Liang, Y. & Ma, T., 2017.Research output: Contribution to conference › Paper › peer-review
748 Scopus citations -
2013
A practical algorithm for topic modeling with provable guarantees
Arora, S., Ge, R., Halpern, Y., Mimno, D., Moitra, A., Sontag, D., Wu, Y. & Zhu, M., 2013, p. 939-947. 9 p.Research output: Contribution to conference › Paper › peer-review
148 Scopus citations -
2010
Adnostic: Privacy Preserving Targeted Advertising∗
Toubiana, V., Narayanan, A., Boneh, D., Nissenbaum, H. & Barocas, S., 2010.Research output: Contribution to conference › Paper › peer-review
195 Scopus citations -
2006
Local versus Global Properties of Metric Spaces Extended abstract
Arora, S., Lovászt, L., Newman, I., Rabani, Y., Rabinovich, Y. & Vempala, S., 2006, p. 41-50. 10 p.Research output: Contribution to conference › Paper › peer-review
Open Access11 Scopus citations -
2000
2+ε approximation algorithm for the k-MST problem
Arora, S. & Karakostas, G., 2000, p. 754-759. 6 p.Research output: Contribution to conference › Paper › peer-review
65 Scopus citations -
1998
Polynomial-time approximation scheme for weighted planar graph TSP
Arora, S., Grigni, M., Karger, D., Klein, P. & Woloszyn, A., 1998, p. 33-41. 9 p.Research output: Contribution to conference › Paper › peer-review
98 Scopus citations -
1996
Solving robust optimization models in finance
Mulvey, J. M., 1996, p. 1-13. 13 p.Research output: Contribution to conference › Paper › peer-review
4 Scopus citations -
1982
CONSTRUCTING AND AGGREGATING DATABASES.
Mulvey, J. M. & Beck, M. P., 1982, p. 492-497. 6 p.Research output: Contribution to conference › Paper › peer-review