Gal Novik

6 papers · 2018–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

NeurIPS (4) ICML (2)

Top co-authors

Shami Nisimov (5) Yaniv Gurwicz (5) Raanan Y. Rohekar (3) Guy Koren (2) Raanan Yehezkel Rohekar (2) Guy Jacob (1) Aviv Tamar (1) Gal Leibovich (1) Or Avner (1)

Research topics

Artificial Intelligence (5) Machine Learning (3) Core AI (3) Deep Learning (2) Knowledge & Reasoning (2) Architectures (2) Bayesian & Probabilistic (2) Reasoning (2) Reinforcement Learning (1) Applications (1) Core Methods (1) Learning Types (1) Optimization & Theory (1)

Keywords

causal discovery (2) latent confounder (2) uncertainty quantification (1) supervised learning (1) policy learning (1) behavior cloning (1) time series (1) continuous control (1) conditional independence (1) bayesian network (1) graphical model (1) convolutional network (1) out-of-distribution detection (1) bayesian neural network (1) selection bia (1) graph algorithm (1) bayesian structure learning (1) constraint-based learning (1) causal relationship (1) faithfulness assumption (1)

Papers

From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders ICML 2023 Learning Control by Iterative Inversion ICML 2023 Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NeurIPS 2021 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NeurIPS 2019 Bayesian Structure Learning by Recursive Bootstrap NeurIPS 2018 Constructing Deep Neural Networks by Bayesian Network Structure Learning NeurIPS 2018