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Student NamesTopicAuthorsYearProject Preference Rank:
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[LRS] Leading Researcher in the Field[UAI][Other]Electronic Link to Paper|
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Preferred Presentation Date(s)
choosing from ...TBD
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↓Professor's Comments
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Example Student 1, Example Student 2Example Paper Title 1Example Author1, Example Author2, Example Author3201922/24
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Example Paper Title 2Example Author4, Example Author5, Example Author620201
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Example Paper Title 3Example Author7, Example Author8, Example Author920203
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ArushiEstablishing Markov equivalence in cyclic directed graphsTom Claassen, Joris M. Mooij2023https://proceedings.mlr.press/v216/claassen23a.html1Looks good, Monday
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On the Definition and Computation of Causal Treewidth Yizuo Chen, Adnan Darwiche2022https://openreview.net/forum?id=rKbECDUsclc2
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Causal Discovery with Hidden Confounders using the Algorithmic Markov ConditionDavid Kaltenpoth, Jilles Vreeken2023https://proceedings.mlr.press/v216/kaltenpoth23a.html3
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RajLearning Nonlinear Causal Effect via Kernel Anchor RegressionWenqi Shi, Wenkai Xu2023https://proceedings.mlr.press/v216/shi23a.htmlwed
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Causal Discovery for time series from multiple datasets with latent contextsWiebke Günther, Urmi Ninad, Jakob Runge2023https://proceedings.mlr.press/v216/gunther23a.html
second paper looks good:check also ref Peter Spirtes andKunZhang. Causal discovery and inference: concepts and recent methodological advances. InAppliedinformatics,volume3,pages1–28. SpringerOpen,2016.
second paper looks good:check also ref Peter Spirtes andKunZhang. Causal discovery and inference: concepts and recent methodological advances. InAppliedinformatics,volume3,pages1–28. SpringerOpen,2016.
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Causal Network Motifs: Identifying Heterogeneous Spillover
Effects in A/B Tests
Yuan Yuan
Kristen Altenburger
Farshad Kooti

2021https://dl.acm.org/doi/fullHtml/10.1145/3442381.3449845
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Steven
Causal Information Splitting: Engineering proxy features for robustness to distribution shifts
Bijan Mazaheri, Atalanti Mastakouri, Dominik Janzing, Michaela Hardt
2023https://proceedings.mlr.press/v216/mazaheri23a.html3looks good, Monday?
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Decentralized Multi-Agent Active Search for Sparse SignalsRamina Ghods, Arundhati Banerjee, Jeff Schneider2021https://auai.org/uai2021/pdf/uai2021.279.pdf1
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Dependency in DAG models with Hidden Variables.Robin J. Evans2021https://auai.org/uai2021/pdf/uai2021.313.pdf2
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Matthew
Causal Discovery for time series from multiple datasets with latent contexts
Wiebke Günther, Urmi Ninad, Jakob Runge
2023https://proceedings.mlr.press/v216/gunther23a.html1
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Neural probabilistic logic programming in discrete-continuous domains
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Readt
2023https://proceedings.mlr.press/v216/de-smet23a/de-smet23a.pdf3ok, Monday?
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Cultivating creativity: predictive brains and the enlightened room problem
Alex Constant, Karl Friston, Andy Clark2024https://royalsocietypublishing.org/doi/10.1098/rstb.2022.04152
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Erik U. Neural Causal Models for Counterfactual Identification and EstimationKevin Xia, Yushu Pan, Elias Bareinboim2022
Open Review PDF, Code Availability, , Elias Tech. Report PDF
1Any
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Counterfactual Image EditingYushu Pan, Elias Bareinboim2024Bareinboim Technical Report PDE2Approved, Monday
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Neural probabilistic logic programming in discrete-continuous domainsLennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Readt2023OpenReview Page (PDF), Supp. Mat3This is already assigned to another student
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VishalCausal Relational LearningBabak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu2020https://dl.acm.org/doi/10.1145/3318464.33897591Wednesdayok
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Causal Inference in Data Analysis with Applications to Fairness and ExplanationsSudeepa Roy, Babak Salimi2023https://link.springer.com/chapter/10.1007/978-3-031-31414-8_32ok., Wednesday
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On Identifiability of Conditional Causal Effects
Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
2023https://proceedings.mlr.press/v216/kivva23a.html3
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PratyoyCausal Relational LearningBabak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu2020https://dl.acm.org/doi/10.1145/3318464.33897591Wednesday(have a final on tuesday)ok. Wednesday
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Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan, Jiongli Zhu, Boris Glavic, and Babak Salimi
2022https://romilapradhan.github.io/assets/pdf/gopher-sigmod.pdf2
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A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders
Aurghya Maiti, Vineet Nair, Gaurav Sinha2022https://openreview.net/pdf?id=HFLeBv8jql93
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