AT
Ameet Talwalkar
cs.LGstat.MLcs.AIcs.HCcs.CVcs.DCcs.SEcs.CLbioinformaticscs.NA
On Valency
published · living versionsW_djneug2e·v1 · currentpublished
MLlib: Machine Learning in Apache Spark
with Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks +11
1 version
Preprints & journals
99 papers in the corpus · 2010–2026Learning from 53.6K Real-World Developer Edits of AI-Generated Code2607.25130v2 · Jenny T. Liang, Mihika Bairathi, Wayne Chi et al.2026 · 0 citationsarXiv
ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues2606.18237v2 · Shanda Li, Qiuhong Anna Wei, Jingwu Tang et al.2026 · 0 citationsarXiv
Comparing Developer and LLM Biases in Code Evaluation2603.24586v2 · Aditya Mittal, Ryan Shar, Zichu Wu et al.2026 · 0 citationsarXiv
ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response2604.21199v2 · Stephan Xie, Ben Cohen, Mononito Goswami et al.2026 · 0 citationsarXiv
FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization2505.16952v3 · Shengyu Feng, Weiwei Sun, Shanda Li et al.2025 · 0 citationsarXiv
RECODE: Reasoning Through Code Generation for Visual Question Answering2510.13756v2 · Junhong Shen, Mu Cai, Bo Hu et al.2025 · 0 citationsarXiv
CoMind: Towards Community-Driven Agents for Machine Learning Engineering2506.20640v3 · Sijie Li, Weiwei Sun, Shanda Li et al.2025 · 0 citationsarXiv
Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants2602.03593v1 · Valerie Chen, Jasmyn He, Behnjamin Williams et al.2026 · 1 citationarXiv
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers2512.00564v2 · Naman Choudhary, Vedant Singh, Ameet Talwalkar et al.2025 · 0 citationsarXiv
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes2402.05406v4 · Steven Kolawole, Lucio Dery, Jean-Francois Kagy et al.2024 · 6 citationsarXiv
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits2511.04486v2 · Wayne Chi, Valerie Chen, Ryan Shar et al.2025 · 0 citationsarXiv
This Time is Different: An Observability Perspective on Time Series Foundation Models2505.14766v2 · Ben Cohen, Emaad Khwaja, Youssef Doubli et al.2025 · 2 citationsarXiv
Agreement-Based Cascading for Efficient Inference2407.02348v4 · Steven Kolawole, Don Dennis, Ameet Talwalkar et al.2024 · 0 citationsTMLR 2025
Understanding Optimization in Deep Learning with Central Flows2410.24206v2 · Jeremy M. Cohen, Alex Damian, Ameet Talwalkar et al.2024 · 0 citationsarXiv
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows2507.08149v2 · Valerie Chen, Ameet Talwalkar, Robert Brennan et al.2025 · 2 citationsarXiv
Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption2508.00723v1 · Rebecca Yu, Valerie Chen, Ameet Talwalkar et al.2025 · 2 citationsarXiv
Sample Complexity and Representation Ability of Test-time Scaling Paradigms2506.05295v2 · Baihe Huang, Shanda Li, Tianhao Wu et al.2025 · 0 citationsarXiv
Specialized Foundation Models Struggle to Beat Supervised Baselines2411.02796v2 · Zongzhe Xu, Ritvik Gupta, Wenduo Cheng et al.2024 · 6 citationsarXiv
CodingGenie: A Proactive LLM-Powered Programming Assistant2503.14724v1 · Sebastian Zhao, Alan Zhu, Hussein Mozannar et al.2025 · 9 citationsarXiv
Need Help? Designing Proactive AI Assistants for Programming2410.04596v2 · Valerie Chen, Alan Zhu, Sebastian Zhao et al.2024 · 26 citationsarXiv
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback2502.18413v1 · Jane Pan, Ryan Shar, Jacob Pfau et al.2025 · 0 citationsarXiv
Learning Personalized Decision Support Policies2304.06701v3 · Umang Bhatt, Valerie Chen, Katherine M. Collins et al.2023 · 6 citationsarXiv
L2G: Repurposing Language Models for Genomics Tasks10.1101/2024.12.09.627422v1 · Cheng, W., Shen, J., Khodak, M. et al.2024 · 1 citationbioRxiv
ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data2411.15004v2 · Junhong Shen, Atishay Jain, Zedian Xiao et al.2024 · 3 citationsarXiv
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation2403.07187v4 · Junhong Shen, Tanya Marwah, Ameet Talwalkar2024 · 5 citationsarXiv
Modulating Language Model Experiences through Frictions2407.12804v2 · Katherine M. Collins, Valerie Chen, Ilia Sucholutsky et al.2024 · 2 citationsarXiv
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers2404.02806v2 · Hussein Mozannar, Valerie Chen, Mohammed Alsobay et al.2024 · 1 citationarXiv
Applying interpretable machine learning in computational biology-pitfalls, recommendations and opportunities for new developments.39122941 · Chen, Valerie, Yang, Muyu, Cui, Wenbo et al.2024 · 114 citationsNature methods. 2024;21(8):1454-1461
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances2310.02246v2 · Mikhail Khodak, Edmond Chow, Maria-Florina Balcan et al.2023 · 0 citationsarXiv
Multitask Learning Can Improve Worst-Group Outcomes2312.03151v2 · Atharva Kulkarni, Lucio Dery, Amrith Setlur et al.2023 · 1 citationarXiv
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms2306.08167v2 · Nari Johnson, 'Angel Alexander Cabrera, Gregory Plumb et al.2023 · 11 citationsarXiv
Do LLMs exhibit human-like response biases? A case study in survey design2311.04076v5 · Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu et al.2023 · 79 citationsarXiv
Perspectives on incorporating expert feedback into model updates.37521050 · Chen, Valerie, Bhatt, Umang, Heidari, Hoda et al.2023 · 9 citationsPatterns (New York, N.Y.). 2023;4(7):100780
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines2307.15475v1 · Matthew Barker, Emma Kallina, Dhananjay Ashok et al.2023 · 7 citationsarXiv
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models2207.04104v3 · Gregory Plumb, Nari Johnson, 'Angel Alexander Cabrera et al.2022 · 1 citationTMLR 2023
On Noisy Evaluation in Federated Hyperparameter Tuning2212.08930v4 · Kevin Kuo, Pratiksha Thaker, Mikhail Khodak et al.2022 · 0 citationsarXiv
Cross-Modal Fine-Tuning: Align then Refine2302.05738v2 · Junhong Shen, Liam Li, Lucio M. Dery et al.2023 · 1 citationarXiv
AANG: Automating Auxiliary Learning2205.14082v2 · Lucio M. Dery, Paul Michel, Mikhail Khodak et al.2022 · 2 citationsarXiv
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods2206.13503v4 · Kasun Amarasinghe, Kit T. Rodolfa, S'ergio Jesus et al.2022 · 13 citationsarXiv
Assisting Human Decisions in Document Matching2302.08450v1 · Joon Sik Kim, Valerie Chen, Danish Pruthi et al.2023 · 2 citationsarXiv
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning2302.04732v1 · 'Angel Alexander Cabrera, Erica Fu, Donald Bertucci et al.2023 · 52 citationsarXiv
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability2103.00065v3 · Jeremy M. Cohen, Simran Kaur, Yuanzhi Li et al.2021 · 32 citationsarXiv
Best Practices for Interpretable Machine Learning in Computational Biology10.1101/2022.10.28.513978v1 · Chen, V., Yang, M., Cui, W. et al.2022 · 16 citationsbioRxiv
Bayesian Persuasion for Algorithmic Recourse2112.06283v3 · Keegan Harris, Valerie Chen, Joon Sik Kim et al.2021 · 1 citationarXiv
AutoML for Climate Change: A Call to Action2210.03324v1 · Renbo Tu, Nicholas Roberts, Vishak Prasad et al.2022 · 3 citationsarXiv
SONAR: Joint Architecture and System Optimization Search2208.12218v1 · Elias Jaasaari, Michelle Ma, Ameet Talwalkar et al.2022 · 1 citationarXiv
Use-Case-Grounded Simulations for Explanation Evaluation2206.02256v2 · Valerie Chen, Nari Johnson, Nicholay Topin et al.2022 · 9 citationsarXiv
Finding and Fixing Spurious Patterns with Explanations2106.02112v3 · Gregory Plumb, Marco Tulio Ribeiro, Ameet Talwalkar2021 · 3 citationsarXiv
Explaining Groups of Points in Low-Dimensional Representations.34532709 · Plumb, Gregory, Terhorst, Jonathan, Sankararaman, Sriram et al.2022 · 3 citationsProceedings of machine learning research. 2020;119:7762-7771
Perspectives on Incorporating Expert Feedback into Model Updates2205.06905v2 · Valerie Chen, Umang Bhatt, Hoda Heidari et al.2022 · 9 citationsarXiv
Career total: 162 works. 99 are in this corpus.Showing the 50 most recent.
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