Yanjun Han

Orcid: 0000-0002-8335-2364

According to our database1, Yanjun Han authored at least 82 papers between 2009 and 2024.

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Bibliography

2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number.
CoRR, 2024

2023
Optimal Prediction of Markov Chains With and Without Spectral Gap.
IEEE Trans. Inf. Theory, June, 2023

High-speed optoelectronic devices.
Sci. China Inf. Sci., May, 2023

Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein.
CoRR, 2023

Online Learning in Multi-unit Auctions.
CoRR, 2023

B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing.
CoRR, 2023

Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits.
CoRR, 2023

190 GHz Bandwidth Modified Uni-Traveling Carrier Photodiodes with High Saturation Power.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Learning and Collusion in Multi-unit Auctions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimax optimal testing by classification.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
On the amortized complexity of approximate counting.
CoRR, 2022

Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits.
CoRR, 2022

Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries.
CoRR, 2022

On the Statistical Complexity of Sample Amplification.
CoRR, 2022

Millimeter-scale Meandered Thin-film Lithium Niobate Modulator with 0.72-\mathrm{V}\ \mathrm{V} \pi$.
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

A Highly Compact Thin-film Lithium Niobate Modulator with Low Half-wave Voltage.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Oracle-Efficient Online Learning for Smoothed Adversaries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation.
IEEE Trans. Inf. Theory, 2021

Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints.
IEEE Trans. Inf. Theory, 2021

Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally.
CoRR, 2021

On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Ultra-wide Bandwidth Thin-film LiNbO3 Modulator with Record-Low Half-wave-voltage Length Product.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

On the Value of Interaction and Function Approximation in Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adversarial Combinatorial Bandits with General Non-linear Reward Functions.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the High Accuracy Limitation of Adaptive Property Estimation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

Minimax Estimation of Divergences Between Discrete Distributions.
IEEE J. Sel. Areas Inf. Theory, 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

Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

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


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