Ruitong Huang
13 papers · 2014–2020 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(60)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(7)
Core Methods
(5)
Learning Types
(5)
Mathematics & Optimization
(4)
Artificial Intelligence
(3)
Core AI
(3)
Optimization
(3)
Computer Science
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Mathematics
(2)
Methods
(2)
Applications · Computer Science
(1)
Applications · Reinforcement Learning
(1)
Keywords
convex optimization
(2)
linear prediction
(2)
neural network
(2)
generative adversarial network
(2)
adversarial training
(2)
online learning
(2)
regret bound
(2)
follow the leader
(2)
adversarial robustness
(2)
maximum entropy
(1)
information retrieval
(1)
data augmentation
(1)
sample complexity
(1)
minimax optimality
(1)
sample efficiency
(1)
sequential decision making
(1)
sequential decision
(1)
source separation
(1)
margin maximization
(1)
independent component analysis
(1)
Papers
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
ICLR 2020
On Minimax Optimality of GANs for Robust Mean Estimation
AISTATS 2020
Maximum Entropy Monte-Carlo Planning
NeurIPS 2019
On Principled Entropy Exploration in Policy Optimization
IJCAI 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
ICLR 2019
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
NeurIPS 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
ICLR 2018
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities
JMLR 2017
Structured Best Arm Identification with Fixed Confidence
ALT 2017
Anchored Speech Detection
Interspeech 2016
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
NeurIPS 2016
Deterministic Independent Component Analysis
ICML 2015
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models
AISTATS 2014