Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference


Jul 23, 2022
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Model Selection in Reinforcement Learning with General Function Approximations


Jul 06, 2022
Avishek Ghosh, Sayak Ray Chowdhury

Add code

* To appear in ECML-PKDD 2022. arXiv admin note: substantial text overlap with arXiv:2107.05849 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Decentralized Competing Bandits in Non-Stationary Matching Markets


May 31, 2022
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On Learning Mixture of Linear Regressions in the Non-Realizable Setting


May 26, 2022
Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen

Add code

* To appear in ICML 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits


May 19, 2022
Avishek Ghosh, Abishek Sankararaman

Add code

* To appear in ICML 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes


Jul 13, 2021
Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran

Add code

* 24 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Model Selection for Generic Contextual Bandits


Jul 07, 2021
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

Add code

* 40 pages, 5 figures. arXiv admin note: text overlap with arXiv:2006.02612 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits


Jun 15, 2021
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

Add code

* 25 pages, 8 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

LocalNewton: Reducing Communication Bottleneck for Distributed Learning


May 16, 2021
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael Mahoney

Add code

* To be published in Uncertainty in Artificial Intelligence (UAI) 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience


Mar 17, 2021
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>