Nirmit Joshi

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Distributed Heterogeneous

Regularized Kernel

Extractive Summarization

Community Detection

Top Venues

Publications

Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries. CoRR (2024)
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)
Julia Gaudio, Nirmit Joshi
Exact Community Recovery (under Side Information): Optimality of Spectral Algorithms. CoRR (2024)
Nirmit Joshi, Gal Vardi, Nathan Srebro
Noisy Interpolation Learning with Shallow Univariate ReLU Networks. ICLR (2024)
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 (2024)
Sepehr Assadi, Nirmit Joshi, Milind Prabhu, Vihan Shah
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs. ICDT (2023)
Nirmit Joshi, Gal Vardi, Nathan Srebro
Noisy Interpolation Learning with Shallow Univariate ReLU Networks. CoRR (2023)
Julia Gaudio, Nirmit Joshi
Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix. COLT (2023)
Sepehr Assadi, Nirmit Joshi, Milind Prabhu, Vihan Shah
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs. CoRR (2023)
Julia Gaudio, Nirmit Joshi
Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix. CoRR (2022)