Alexander K. Lew
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HRI | Learning Human Preferences over a Human-Robot Collaboration Based on Explicit and Implicit Human Feedback. | Kate Candon, Qiping Zhang, Alexander K. Lew, Houston Claure, Lena Qian, Alyssa Quarles, Chayan Sarkar, Marynel Vzquez |
| 2025 | CogSci | Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. | Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum |
| 2025 | ICLR | Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. | Joo Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell |
| 2024 | CogSci | Concept Learning as Coarse-to-Fine Probabilistic Program Induction. | Maddy Bowers, Alexander K. Lew, Wenhao Qi, Joshua S. Rule, Vikash Mansinghka, Josh Tenenbaum, Armando Solar-Lezama |
| 2024 | HRI | Shutter: A Low-Cost and Flexible Social Robot Platform for In-the-Wild Deployments. | Sydney Thompson, Austin Narcomey, Alexander K. Lew, Marynel Vzquez |
| 2024 | ICMI | Predicting Human Intent to Interact with a Public Robot: The People Approaching Robots Database (PAR-D). | Sydney Thompson, Alexander K. Lew, Yifan Li, Elizabeth Stanish, Alex Huang, Rohan Phanse, Marynel Vzquez |
| 2023 | AISTATS | SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. | Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka |
| 2023 | LICS | ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. | Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton |
| 2022 | UAI | Recursive Monte Carlo and variational inference with auxiliary variables. | Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2021 | AISTATS | PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. | Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka |
| 2020 | CogSci | Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. | Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum |
| 2019 | PLDI | Gen: a general-purpose probabilistic programming system with programmable inference. | Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka |