Kumar Kshitij Patel

According to our database, Kumar Kshitij Patel authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approaching Deep Learning through the Spectral Dynamics of Weights.

David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter

CoRR, 2024

The Limitations of Model Retraining in the Face of Performativity.

Anmol Kabra, Kumar Kshitij Patel

CoRR, 2024

Online Combinatorial Optimization with Group Fairness Constraints.

Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication.

Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Federated Online and Bandit Convex Optimization.

Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Sebro

CoRR, 2023

On the Effect of Defections in Federated Learning and How to Prevent Them.

Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang

CoRR, 2023

Federated Online and Bandit Convex Optimization.

Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Optimal Communication Complexity in Distributed Non-Convex Optimization.

Kumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Stochastic Newton Algorithm for Distributed Convex Optimization.

Brian Bullins, Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake E. Woodworth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Minibatch vs Local SGD for Heterogeneous Distributed Learning.

Blake E. Woodworth, Kumar Kshitij Patel, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Is Local SGD Better than Minibatch SGD?

Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro

Proceedings of the 37th International Conference on Machine Learning, 2020

Don't Use Large Mini-batches, Use Local SGD.

Tao Lin, Sebastian U. Stich, Kumar Kshitij Patel, Martin Jaggi

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Corruption-tolerant bandit learning.

Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar

Mach. Learn., 2019

Communication trade-offs for synchronized distributed SGD with large step size.

Kumar Kshitij Patel, Aymeric Dieuleveut

CoRR, 2019

Communication trade-offs for Local-SGD with large step size.

Aymeric Dieuleveut, Kumar Kshitij Patel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019