{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/estimating-causal-effects-using-a-multi-task","title":"Estimating Causal Effects using a Multi-task Deep Ensemble","arxiv_id":"2301.11351","date":"2023-01-26","proceeding":null,"authors":["Ziyang Jiang","Zhuoran Hou","Yiling Liu","Yiman Ren","Keyu Li","David Carlson"],"abstract":"A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap, we propose Causal Multi-task Deep Ensemble (CMDE), a novel framework that learns both shared and group-specific information from the study population. We provide proofs demonstrating equivalency of CDME to a multi-task Gaussian process (GP) with a coregionalization kernel a priori. Compared to multi-task GP, CMDE efficiently handles high-dimensional and multi-modal covariates and provides pointwise uncertainty estimates of causal effects. We evaluate our method across various types of datasets and tasks and find that CMDE outperforms state-of-the-art methods on a majority of these tasks.","url_abs":"https://arxiv.org/abs/2301.11351v3","url_pdf":"https://arxiv.org/pdf/2301.11351v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"estimating-causal-effects-using-a-multi-task","repo_url":"https://github.com/jzy95310/ick","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[{"method_slug":"gaussian-process","method_name":"Gaussian Process"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2301.11351","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.11351"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/jzy95310/ICK","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jzy95310/ick","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":7},"by_repo_kind":{"official":{"samples":7,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"c8f0a7aef4b6c2b3","entry":"BasicBlock2D","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c8f0a7aef4b6c2b3"}},{"code_sha256_prefix":"1e40f4b5d7a15cf0","entry":"CMICK_MT","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1e40f4b5d7a15cf0"}},{"code_sha256_prefix":"0d471b3a685b1b2c","entry":"ICK","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0d471b3a685b1b2c"}},{"code_sha256_prefix":"17bec051bb8b358d","entry":"ImplicitConvNet2DKernel","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"17bec051bb8b358d"}},{"code_sha256_prefix":"e610fcb3ad2d8d36","entry":"ImplicitNNKernel","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e610fcb3ad2d8d36"}},{"code_sha256_prefix":"58c2f595ada76d7b","entry":"ImplicitResNetKernel","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"58c2f595ada76d7b"}},{"code_sha256_prefix":"e6245a0a0e826c55","entry":"attach_single_output_dense_layer","repo":"jzy95310/ick","repo_kind":"official","path":"model/cmick.py","file_url":"https://github.com/jzy95310/ick/blob/HEAD/model/cmick.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e6245a0a0e826c55"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}