
Stackelberg GAN: Towards Provable Minimax Equilibrium via MultiGenerator Architectures
We study the problem of alleviating the instability issue in the GAN tra...
11/19/2018 ∙ by Hongyang Zhang, et al. ∙ 8 ∙ shareread it

Theoretically Principled Tradeoff between Robustness and Accuracy
We identify a tradeoff between robustness and accuracy that serves as a...
01/24/2019 ∙ by Hongyang Zhang, et al. ∙ 4 ∙ shareread it

Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits
We show through case studies that it is easier to estimate the fundament...
07/05/2017 ∙ by Jiantao Jiao, et al. ∙ 0 ∙ shareread it

Demystifying ResNet
The Residual Network (ResNet), proposed in He et al. (2015), utilized sh...
11/03/2016 ∙ by Sihan Li, et al. ∙ 0 ∙ shareread it

Beyond Maximum Likelihood: from Theory to Practice
Maximum likelihood is the most widely used statistical estimation techni...
09/26/2014 ∙ by Jiantao Jiao, et al. ∙ 0 ∙ shareread it

MinimaxOptimal Bounds for Detectors Based on Estimated Prior Probabilities
In many signal detection and classification problems, we have knowledge ...
07/29/2011 ∙ by Jiantao Jiao, et al. ∙ 0 ∙ shareread it

The Nearest Neighbor Information Estimator is Adaptively Near Minimax RateOptimal
We analyze the KozachenkoLeonenko (KL) nearest neighbor estimator for ...
11/23/2017 ∙ by Jiantao Jiao, et al. ∙ 0 ∙ shareread it

Approximate Profile Maximum Likelihood
We propose an efficient algorithm for approximate computation of the pro...
12/19/2017 ∙ by Dmitri S. Pavlichin, et al. ∙ 0 ∙ shareread it

Optimal rates of entropy estimation over Lipschitz balls
We consider the problem of minimax estimation of the entropy of a densit...
11/06/2017 ∙ by Yanjun Han, et al. ∙ 0 ∙ shareread it

Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
We present Local Moment Matching (LMM), a unified methodology for symmet...
02/23/2018 ∙ by Yanjun Han, et al. ∙ 0 ∙ shareread it

Lower bounds on the minimax redundancy for Markov chains with large state space
For any Markov source, there exist universal codes whose normalized code...
05/02/2018 ∙ by Kedar Shriram Tatwawadi, et al. ∙ 0 ∙ shareread it

Entropy Rate Estimation for Markov Chains with Large State Space
Estimating the entropy based on data is one of the prototypical problems...
02/22/2018 ∙ by Yanjun Han, et al. ∙ 0 ∙ shareread it

Minimax redundancy for Markov chains with large state space
For any Markov source, there exist universal codes whose normalized code...
05/02/2018 ∙ by Kedar Shriram Tatwawadi, et al. ∙ 0 ∙ shareread it

Concentration Inequalities for the Empirical Distribution
We study concentration inequalities for the KullbackLeibler (KL) diver...
09/18/2018 ∙ by Jay Mardia, et al. ∙ 0 ∙ shareread it

Deconstructing Generative Adversarial Networks
We deconstruct the performance of GANs into three components: 1. Formu...
01/27/2019 ∙ by Banghua Zhu, et al. ∙ 0 ∙ shareread it

Barracuda: The Power of ℓpolling in ProofofStake Blockchains
A blockchain is a database of sequential events that is maintained by a ...
09/18/2019 ∙ by Giulia Fanti, et al. ∙ 0 ∙ shareread it

Generalized Resilience and Robust Statistics
Robust statistics traditionally focuses on outliers, or perturbations in...
09/19/2019 ∙ by Banghua Zhu, et al. ∙ 0 ∙ shareread it
Jiantao Jiao
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