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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Karan Singh

A Boosting Approach to Reinforcement Learning


Aug 22, 2021
Nataly Brukhim, Elad Hazan, Karan Singh


  Access Paper or Ask Questions

SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance


Jul 13, 2021
Mitchell Doughty, Karan Singh, Nilesh R. Ghugre

* Accepted at MICCAI 2021; 11 pages, 3 figures 

  Access Paper or Ask Questions

Machine Learning for Mechanical Ventilation Control


Feb 26, 2021
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan


  Access Paper or Ask Questions

A Regret Minimization Approach to Iterative Learning Control


Feb 26, 2021
Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh


  Access Paper or Ask Questions

Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking


Feb 19, 2021
Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan


  Access Paper or Ask Questions

Boosting for Online Convex Optimization


Feb 18, 2021
Elad Hazan, Karan Singh


  Access Paper or Ask Questions

RigNet: Neural Rigging for Articulated Characters


May 01, 2020
Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Chris Landreth, Karan Singh

* SIGGRAPH 2020. Project page https://zhan-xu.github.io/rig-net/ 

  Access Paper or Ask Questions

No-Regret Prediction in Marginally Stable Systems


Feb 20, 2020
Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang


  Access Paper or Ask Questions

Improper Learning for Non-Stochastic Control


Jan 25, 2020
Max Simchowitz, Karan Singh, Elad Hazan


  Access Paper or Ask Questions

The Nonstochastic Control Problem


Jan 20, 2020
Elad Hazan, Sham M. Kakade, Karan Singh

* To appear at Algorithmic Learning Theory (ALT) 2020; small revisions from the last ver 

  Access Paper or Ask Questions

Logarithmic Regret for Online Control


Sep 11, 2019
Naman Agarwal, Elad Hazan, Karan Singh


  Access Paper or Ask Questions

Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets


Aug 22, 2019
Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Karan Singh

* 3DV 2019 

  Access Paper or Ask Questions

Online Control with Adversarial Disturbances


Feb 23, 2019
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh


  Access Paper or Ask Questions

Provably Efficient Maximum Entropy Exploration


Dec 06, 2018
Elad Hazan, Sham M. Kakade, Karan Singh, Abby Van Soest


  Access Paper or Ask Questions

The Case for Full-Matrix Adaptive Regularization


Jun 08, 2018
Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang


  Access Paper or Ask Questions

Color Sails: Discrete-Continuous Palettes for Deep Color Exploration


Jun 07, 2018
Maria Shugrina, Amlan Kar, Karan Singh, Sanja Fidler

* 14 pages, 13 figures 

  Access Paper or Ask Questions

Spectral Filtering for General Linear Dynamical Systems


Feb 12, 2018
Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang


  Access Paper or Ask Questions

Learning Linear Dynamical Systems via Spectral Filtering


Nov 02, 2017
Elad Hazan, Karan Singh, Cyril Zhang

* Published as a conference paper at NIPS 2017 

  Access Paper or Ask Questions

Efficient Regret Minimization in Non-Convex Games


Jul 31, 2017
Elad Hazan, Karan Singh, Cyril Zhang

* Published as a conference paper at ICML 2017 

  Access Paper or Ask Questions

The Price of Differential Privacy For Online Learning


Jun 13, 2017
Naman Agarwal, Karan Singh

* To appear in the Proceedings of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017 

  Access Paper or Ask Questions

Dynamic Task Allocation for Crowdsourcing Settings


Feb 25, 2017
Angela Zhou, Irineo Cabreros, Karan Singh

* Presented at the Data Efficient Machine Learning Workshop at International Conference on Machine Learning (ICML) 2016 

  Access Paper or Ask Questions