# Alekh Agarwal

According to our database

Collaborative distances:

^{1}, Alekh Agarwal authored at least 93 papers between 2006 and 2020.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

CoRR, 2020

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

Proceedings of the Conference on Learning Theory, 2020

Proceedings of the Conference on Learning Theory, 2020

Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes.

Proceedings of the Conference on Learning Theory, 2020

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations.

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

J. Mach. Learn. Res., 2019

CoRR, 2019

CoRR, 2019

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting.

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

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback.

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches.

Proceedings of the Conference on Learning Theory, 2019

2018

CoRR, 2018

CoRR, 2018

CoRR, 2018

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Proceedings of the 35th International Conference on Machine Learning, 2018

Proceedings of the 35th International Conference on Machine Learning, 2018

Proceedings of the 35th International Conference on Machine Learning, 2018

Proceedings of the Conference On Learning Theory, 2018

Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon.

Proceedings of the Conference On Learning Theory, 2018

2017

IEEE Trans. Inf. Theory, 2017

CoRR, 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 30th Conference on Learning Theory, 2017

Proceedings of the 30th Conference on Learning Theory, 2017

2016

SIAM J. Optim., 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

CoRR, 2016

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

CoRR, 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Proceedings of the 32nd International Conference on Machine Learning, 2015

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

J. Mach. Learn. Res., 2014

CoRR, 2014

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

Proceedings of The 27th Conference on Learning Theory, 2014

Proceedings of The 27th Conference on Learning Theory, 2014

Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions.

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013

IEEE Trans. Inf. Theory, 2013

SIAM J. Optim., 2013

CoRR, 2013

CoRR, 2013

CoRR, 2013

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

PhD thesis, 2012

Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization.

IEEE Trans. Inf. Theory, 2012

Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling.

IEEE Trans. Autom. Control., 2012

SIAM J. Optim., 2012

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

CoRR, 2012

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Proceedings of the COLT 2011, 2011

Fast global convergence of gradient methods for high-dimensional statistical recovery

CoRR, 2011

CoRR, 2011

Proceedings of the UAI 2011, 2011

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions.

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes.

J. Mach. Learn. Res., 2010

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Fast global convergence rates of gradient methods for high-dimensional statistical recovery.

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.

Proceedings of the COLT 2010, 2010

2009

Information-theoretic lower bounds on the oracle complexity of convex optimization.

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Proceedings of the COLT 2009, 2009

2008

Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes.

Proceedings of the Machine Learning, 2008

2007

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Proceedings of the Machine Learning, 2007

2006

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006