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2020 – today
- 2024
[c4]Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro:
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. COLT 2024: 4115-4157- [c3]Nirmit Joshi, Gal Vardi, Nathan Srebro:
Noisy Interpolation Learning with Shallow Univariate ReLU Networks. ICLR 2024 - [i6]Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro:
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. CoRR abs/2405.11667 (2024) - [i5]Julia Gaudio, Nirmit Joshi:
Exact Community Recovery (under Side Information): Optimality of Spectral Algorithms. CoRR abs/2406.13075 (2024) - [i4]Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro:
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries. CoRR abs/2407.05622 (2024) - 2023
- [c2]Julia Gaudio, Nirmit Joshi:
Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix. COLT 2023: 469-510 - [c1]Sepehr Assadi, Nirmit Joshi, Milind Prabhu, Vihan Shah
:
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs. ICDT 2023: 19:1-19:19 - [i3]Sepehr Assadi, Nirmit Joshi, Milind Prabhu, Vihan Shah:
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs. CoRR abs/2303.06288 (2023) - [i2]Nirmit Joshi, Gal Vardi, Nathan Srebro:
Noisy Interpolation Learning with Shallow Univariate ReLU Networks. CoRR abs/2307.15396 (2023) - 2022
- [i1]Julia Gaudio, Nirmit Joshi:
Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix. CoRR abs/2208.12227 (2022)
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