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2020 – today
- 2023
[c6]Ananya Uppal, P. Maitreyi, P. Shreya, Trisha Jain, Bhaskaryoti Das:
An Interpretable Hybrid Recommender Based on Graph Convolution to Address Serendipity. CCCE 2023: 27-38- [c5]Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price:
Learning a 1-layer conditional generative model in total variation. NeurIPS 2023 - 2022
- [c4]Ananya Uppal, P. Maitreyi, H. R. Mamatha, Jamuna:
RePI: Research Paper Impact Analysis. ISDA (1) 2022: 206-216 - 2020
- [c3]Ananya Uppal, Shashank Singh, Barnabás Póczos:
Robust Density Estimation under Besov IPM Losses. NeurIPS 2020 - [i3]Ananya Uppal, Shashank Singh, Barnabás Póczos:
Robust Density Estimation under Besov IPM Losses. CoRR abs/2004.08597 (2020)
2010 – 2019
- 2019
- [c2]Ananya Uppal, Shashank Singh, Barnabás Póczos:
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses. NeurIPS 2019: 9086-9097 - [i2]Ananya Uppal, Shashank Singh
, Barnabás Póczos:
Nonparametric Density Estimation under Besov IPM Losses. CoRR abs/1902.03511 (2019) - 2018
- [c1]Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos:
Nonparametric Density Estimation under Adversarial Losses. NeurIPS 2018: 10246-10257 - [i1]Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos:
Nonparametric Density Estimation under Adversarial Losses. CoRR abs/1805.08836 (2018)
Coauthor Index
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