Yanjun Han

According to our database1, Yanjun Han authored at least 53 papers between 2009 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

On the High Accuracy Limitation of Adaptive Property Estimation.
CoRR, 2020

Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions.
CoRR, 2020

Sequential Batch Learning in Finite-Action Linear Contextual Bandits.
CoRR, 2020

The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions.
CoRR, 2020

Optimal No-regret Learning in Repeated First-price Auctions.
CoRR, 2020

Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation.
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

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit.
Electron. Colloquium Comput. Complex., 2019

Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols.
CoRR, 2019

Learning Distributions from their Samples under Communication Constraints.
CoRR, 2019

Batched Multi-armed Bandits Problem.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fisher Information for Distributed Estimation under a Blackboard Communication Protocol.
Proceedings of the IEEE International Symposium on Information Theory, 2019

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

Expectation of the Largest Betting Size in Labouchère System.
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

Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints.
Proceedings of the Conference On Learning 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

A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

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
Performance Limits and Geometric Properties of Array Localization.
IEEE Trans. Inf. Theory, 2016

Mutual Information Bounds via Adjacency Events.
IEEE Trans. Inf. Theory, 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

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

On the Ergodic Capacity of MIMO Free-Space Optical Systems Over Turbulence Channels.
IEEE J. Sel. Areas Commun., 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
Beyond Maximum Likelihood: from Theory to Practice.
CoRR, 2014

Performance Limits and Geometric Properties of Narrowband Array Localization.
CoRR, 2014

Fundamental localization accuracy in narrowband array-based systems.
Proceedings of the IEEE International Conference on Acoustics, 2014

Time-varying channel estimation based on dynamic compressive sensing for OFDM systems.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

Near-optimal signal detection with low complexity based on Gauss-Seidel method for uplink large-scale MIMO systems.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

Accurate channel estimation based on Bayesian Compressive Sensing for next-generation wireless broadcasting systems.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

2012
A Boosting, Sparsity- Constrained Bilinear Model for Object Recognition.
IEEE Multim., 2012

2011
Face Sketch Synthesis via Multivariate Output Regression.
Proceedings of the Human-Computer Interaction. Design and Development Approaches, 2011

2010
Avoiding False Positive in Multi-Instance Learning.
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

Face Sketch Synthesis via Sparse Representation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
An l1 Regularization Framework for Optimal Rule Combination.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009


  Loading...