Schölkopf, Bernhard
410 publications
AISTATS
2025
Accuracy on the Wrong Line: On the Pitfalls of Noisy Data for Out-of-Distribution Generalisation
ICLR
2025
Conformal Generative Modeling with Improved Sample Efficiency Through Sequential Greedy Filtering
ICML
2025
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
ICML
2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
NeurIPSW
2024
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
ICMLW
2024
Stitching Manifolds: Leveraging Interaction to Compose Object Representations into Scenes.
NeurIPS
2023
Causal De Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
CLeaR
2023
Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning
ICML
2023
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
NeurIPS
2023
Learning Linear Causal Representations from Interventions Under General Nonlinear Mixing
NeurIPS
2023
Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning
NeurIPS
2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
AISTATS
2022
GalilAI: Out-of-Task Distribution Detection Using Causal Active Experimentation for Safe Transfer RL
NeurIPS
2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
ICML
2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
NeurIPSW
2022
Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
ICLRW
2022
Invariant Causal Representation Learning for Generalization in Imitation and Reinforcement Learning
AISTATS
2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
JMLR
2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation
AAAI
2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
ICML
2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
UAI
2019
Coordinating Users of Shared Facilities via Data-Driven Predictive Assistants and Game Theory
ICLRW
2019
Disentangled State Space Models: Unsupervised Learning of Dynamics Across Heterogeneous Environments
NeurIPS
2019
On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset
NeurIPS
2019
Selecting Causal Brain Features with a Single Conditional Independence Test per Feature
NeurIPS
2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
NeurIPS
2013
Statistical Analysis of Coupled Time Series with Kernel Cross-Spectral Density Operators.
ECCV
2012
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
NeurIPS
2008
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance