Bernhard Schoelkopf
12 papers · 2014–2021 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25)
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(59)
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Core AI
(5)
Knowledge & Reasoning
(4)
Core Methods
(4)
Reasoning
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Applications
(1)
Keywords
causal inference
(4)
granger causality
(3)
time series
(3)
sample complexity
(2)
network inference
(2)
causal discovery
(2)
vector autoregression
(2)
causal direction
(2)
diffusion network
(2)
principal component analysis
(1)
adversarial training
(1)
expectation maximization
(1)
kernel approximation
(1)
independent component analysis
(1)
sentiment classification
(1)
spectral clustering
(1)
canonical correlation analysis
(1)
reproducing kernel hilbert space
(1)
linear discriminant analysis
(1)
social media analysis
(1)
Papers
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States
EMNLP 2021
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
L4DC 2020
Cause-Effect Inference by Comparing Regression Errors
AISTATS 2018
Wasserstein Auto-Encoders
ICLR 2018
Local Group Invariant Representations via Orbit Embeddings
AISTATS 2017
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
ICML 2015
Discovering Temporal Causal Relations from Subsampled Data
ICML 2015
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
ICML 2014
Kernel Mean Estimation and Stein Effect
ICML 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
COLT 2014
Randomized Nonlinear Component Analysis
ICML 2014