Jiantao Jiao

According to our database1, Jiantao Jiao authored at least 51 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Bias Correction With Jackknife, Bootstrap, and Taylor Series.
IEEE Trans. Inf. Theory, 2020

SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory.
CoRR, 2020

Toward the Fundamental Limits of Imitation Learning.
CoRR, 2020

Robust estimation via generalized quasi-gradients.
CoRR, 2020

When does the Tukey Median work?
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits.
IEEE Trans. Inf. Theory, 2019

Approximate Profile Maximum Likelihood.
J. Mach. Learn. Res., 2019

Generalized Resilience and Robust Statistics.
CoRR, 2019

Deconstructing Generative Adversarial Networks.
CoRR, 2019

Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Theoretically Principled Trade-off between Robustness and Accuracy.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels.
IEEE Trans. Inf. Theory, 2018

Minimax Estimation of the L<sub>1</sub> Distance.
IEEE Trans. Inf. Theory, 2018

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.
CoRR, 2018

Concentration Inequalities for the Empirical Distribution.
CoRR, 2018

The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Entropy Rate Estimation for Markov Chains with Large State Space.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Minimax Redundancy for Markov Chains with Large State Space.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance.
Proceedings of the Conference On Learning Theory, 2018

2017
Relations Between Information and Estimation in Discrete-Time Lévy Channels.
IEEE Trans. Inf. Theory, 2017

Maximum Likelihood Estimation of Functionals of Discrete Distributions.
IEEE Trans. Inf. Theory, 2017

Optimal rates of entropy estimation over Lipschitz balls.
CoRR, 2017

On Estimation of L<sub>{r}</sub>-Norms in Gaussian White Noise Models.
CoRR, 2017

Bias Correction with Jackknife, Bootstrap, and Taylor Series.
CoRR, 2017

Minimax Estimation of the $L_1$ Distance.
CoRR, 2017

Dependence measures bounding the exploration bias for general measurements.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Demystifying ResNet.
CoRR, 2016

Minimax Estimation of KL Divergence between Discrete Distributions.
CoRR, 2016

Minimax rate-optimal estimation of KL divergence between discrete distributions.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

Minimax estimation of the L1 distance.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Minimax Estimation of Functionals of Discrete Distributions.
IEEE Trans. Inf. Theory, 2015

Justification of Logarithmic Loss via the Benefit of Side Information.
IEEE Trans. Inf. Theory, 2015

Minimax Estimation of Discrete Distributions Under ℓ<sub>1</sub> Loss.
IEEE Trans. Inf. Theory, 2015

Minimax estimation of information measures.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Maximum Likelihood Estimation of information measures.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Minimax estimation of discrete distributions.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Adaptive estimation of Shannon entropy.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Does dirichlet prior smoothing solve the Shannon entropy estimation problem?
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Information Measures: The Curious Case of the Binary Alphabet.
IEEE Trans. Inf. Theory, 2014

Maximum Likelihood Estimation of Functionals of Discrete Distributions.
CoRR, 2014

Order-Optimal Estimation of Functionals of Discrete Distributions.
CoRR, 2014

Beyond Maximum Likelihood: from Theory to Practice.
CoRR, 2014

Relations between information and estimation in scalar Lévy channels.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Information divergences and the curious case of the binary alphabet.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

An extremal inequality for long Markov chains.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Universal Estimation of Directed Information.
IEEE Trans. Inf. Theory, 2013

Pointwise relations between information and estimation in the Poisson channel.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities.
IEEE Trans. Inf. Theory, 2012

Universal estimation of directed information via sequential probability assignments.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2010
NOMAD: networked-observation and mobile-agent-based scene abstraction and determination.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010


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