NeurIPS 2022 Workshop CML4Impact Submissions

Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch, Jean Kaddour, Ricardo Silva
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Targeted Causal Elicitation
Nazaal Ibrahim, S. T. John, Zhigao Guo, Samuel Kaski
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Exploiting Selection Bias on Underspecified Tasks in Large Language Models
Emily McMilin
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Moving towards a more equal world, one ride at a time: Studying Public Transportation Initiatives using interpretable causal inference
Gaurav Rajesh Parikh, Albert Sun, Jenny Huang, Lesia Semenova, Cynthia Rudin
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Non-Stationary Causal Bandits
Reda ALAMI
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
A Causal AI Suite for Decision-Making
Emre Kiciman, Eleanor Wiske Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Neural Bayesian Network Understudy
Paloma Rabaey, Cedric De Boom, Thomas Demeester
- 03 Oct 2022 (modified: 22 Oct 2023)
- CML4Impact
- Readers: Everyone
Multi-valued Treatment Effect Estimation for Health Technology Assessment with a Neural Network
Borja Velasco, Jesus Cerquides, Josep Lluis Arcos
- 03 Oct 2022 (modified: 02 Feb 2024)
- CML4Impact
- Readers: Everyone
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
- 03 Oct 2022 (modified: 22 Oct 2023)
- CML4Impact
- Readers: Everyone
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra P. K. Poudel, Harit Pandya, Roberto Cipolla
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Toward Fair and Robust Optimal Treatment Regimes
Kwangho Kim, Jose R Zubizarreta
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Counterfactual Generation Under Confounding
Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
A Causal Inference Framework for Network Interference with Panel Data
Sarah Huiyi Cen, Anish Agarwal, Christina Yu, Devavrat Shah
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
Erica Cai, Andrew McGregor, David Jensen
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
On Causal Rationalization
Wenbo Zhang, TONG WU, Yunlong Wang, Yong Cai, Hengrui Cai
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
A Design-Based Riesz Representation Framework For Randomized Experiments
Christopher Harshaw, Yitan Wang, Fredrik Savje
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
The Counterfactual-Shapley Value: Attributing Change in System Metrics
Amit Sharma, Hua Li, Jian Jiao
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Beyond Central Limit Theorem for Higher-Order Inference in Batched Bandits
Yechan Park, Ruohan Zhan, Nakahiro Yoshida
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Valid Inference after Causal Discovery
Paula Gradu, Tijana Zrnic, Yixin Wang, Michael Jordan
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Can Large Language Models Build Causal Graphs?
Stephanie Long, Tibor Schuster, Alexandre Piché
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Counterfactual Decision Support Under Treatment-Conditional Outcome Measurement Error
Luke Guerdan, Amanda Lee Coston, Ken Holstein, Steven Wu
- 03 Oct 2022 (modified: 05 May 2023)
- CML4Impact
- Readers: Everyone
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
- 03 Oct 2022 (modified: 22 Oct 2023)
- CML4Impact
- Readers: Everyone