Bernhard Schoelkopf
12 papers · 2014–2021 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🗃️
Keyword Collector
(55)
📈
Trend Setter
💎
Century Club
(12)
🚀
Conference Pioneer
Conferences
ICML (6)
AISTATS (2)
COLT (1)
EMNLP (1)
ICLR (1)
L4DC (1)
Top co-authors
Keywords
causal inference
(4)
granger causality
(3)
time series
(3)
causal discovery
(2)
network inference
(2)
vector autoregression
(2)
causal direction
(2)
sample complexity
(2)
diffusion network
(2)
kernel approximation
(1)
principal component analysis
(1)
active learning
(1)
expectation maximization
(1)
sparse optimization
(1)
independent component analysis
(1)
statistical estimation
(1)
linear discriminant analysis
(1)
sentiment classification
(1)
canonical correlation analysis
(1)
reproducing kernel hilbert space
(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
Wasserstein Auto-Encoders
ICLR 2018
Cause-Effect Inference by Comparing Regression Errors
AISTATS 2018
Local Group Invariant Representations via Orbit Embeddings
AISTATS 2017
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
Discovering Temporal Causal Relations from Subsampled Data
ICML 2015
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
ICML 2015
Kernel Mean Estimation and Stein Effect
ICML 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
COLT 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
ICML 2014
Randomized Nonlinear Component Analysis
ICML 2014