Papers
2,716 papers found
Locally Private Gaussian Estimation
Matthew Joseph, Janardhan Kulkarni, Jieming Mao et al.
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel, Dan Garant, David Jensen
Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
Zhao Song, David Woodruff, Peilin Zhong
Off-Policy Evaluation via Off-Policy Classification
Alexander Irpan, Kanishka Rao, Konstantinos Bousmalis et al.
Envy-Free Classification
Maria-Florina F Balcan, Travis Dick, Ritesh Noothigattu et al.
Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang, Hanwang Zhang, Jinhui Tang et al.
A causal view of compositional zero-shot recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit et al.
CASTLE: Regularization via Auxiliary Causal Graph Discovery
Trent Kyono, Yao Zhang, Mihaela van der Schaar
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
PRANK: motion Prediction based on RANKing
Yuriy Biktairov, Maxim Stebelev, Irina Rudenko et al.
Fast Fourier Convolution
Lu Chi, Borui Jiang, Yadong Mu
Causal Estimation with Functional Confounders
Aahlad Puli, Adler J. Perotte, Rajesh Ranganath
Generative causal explanations of black-box classifiers
Matthew O'Shaughnessy, Gregory Canal, Marissa Connor et al.
Geometric Exploration for Online Control
Orestis Plevrakis, Elad Hazan
General Control Functions for Causal Effect Estimation from IVs
Aahlad Puli, Rajesh Ranganath
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz et al.
CoSE: Compositional Stroke Embeddings
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi et al.
Causal Imitation Learning With Unobserved Confounders
Junzhe Zhang, Daniel Kumor, Elias Bareinboim
Learning Causal Effects via Weighted Empirical Risk Minimization
Yonghan Jung, Jin Tian, Elias Bareinboim
Prediction with Corrupted Expert Advice
Idan Amir, Idan Attias, Tomer Koren et al.
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie, Ruichu Cai, Biwei Huang et al.
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan L. Gamella, Christina Heinze-Deml
Explicit Regularisation in Gaussian Noise Injections
Alexander Camuto, Matthew Willetts, Umut Simsekli et al.