Chris Russell
31 papers · 2013–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 32% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chris Russell?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf
10 papers
· 2022–2023
· ICML, AISTATS, NeurIPS
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Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
Efficient fair PCA for fair representation learning
AISTATS 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
ICML 2023
Active Sampling for Min-Max Fairness
ICML 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
NeurIPS 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
CVPR 2022
Pairwise Fairness for Ordinal Regression
AISTATS 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
ICML 2022
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
ICLR 2022
6 papers whose co-authors appear nowhere else under this name
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
EMNLP 2025
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball
CVPR 2021
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
NeurIPS 2019
U4D: Unsupervised 4D Dynamic Scene Understanding
ICCV 2019
Optimal Submodular Extensions for Marginal Estimation
AISTATS 2018
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
NeurIPS 2017