Bo Xie
7 papers · 2012–2017 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (26)
📈
Trend Setter
🗃️
Keyword Collector
(52)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Core Methods
(6)
Deep Learning
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization & Theory · Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Methods
(1)
Probability
(1)
Keywords
kernel methods
(3)
stochastic optimization
(2)
doubly stochastic gradient
(2)
neural network
(2)
random feature
(2)
stochastic gradient
(2)
learning theory
(2)
scalable learning
(1)
tensor decomposition
(1)
logistic regression
(1)
random feature approximation
(1)
statistical query
(1)
kernel pca
(1)
reproducing kernel hilbert space
(1)
stochastic process
(1)
neural network optimization
(1)
generalization ability
(1)
eigenvalue decomposition
(1)
multi-label classification
(1)
nonparametric estimation
(1)
Papers
Diverse Neural Network Learns True Target Functions
AISTATS 2017
On the Complexity of Learning Neural Networks
NeurIPS 2017
Isotonic Hawkes Processes
ICML 2016
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
NeurIPS 2015
Nonparametric Estimation of Multi-View Latent Variable Models
ICML 2014
Scalable Kernel Methods via Doubly Stochastic Gradients
NeurIPS 2014
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
AISTATS 2012