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Publication search results
found 64 matches
- 2024
- Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr:
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE 2024: 114-123 - Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. SIGMETRICS/Performance (Abstracts) 2024: 69-70 - Jugal Gandhi, Rishi Agarwal, Anish Mall, Diksha Shekhawat, M. Santosh, Jai Gopal Pandey:
SAT and SCOPE Attacks on Deceptive Multiplexer Logic Locking. VLSID 2024: 547-552 - Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah:
Doubly Robust Inference in Causal Latent Factor Models. CoRR abs/2402.11652 (2024) - Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano:
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming. CoRR abs/2402.14261 (2024) - Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan:
AutoDev: Automated AI-Driven Development. CoRR abs/2403.08299 (2024) - Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse:
Multi-Armed Bandits with Network Interference. CoRR abs/2405.18621 (2024) - 2023
- Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen:
Causal Matrix Completion. COLT 2023: 3821-3826 - Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar:
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. NeurIPS 2023 - Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS 2023 - Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI 2023: 1115-1147 - Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar:
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. CoRR abs/2303.14226 (2023) - Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants:
Estimating the Value of Evidence-Based Decision Making. CoRR abs/2306.13681 (2023) - Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. CoRR abs/2307.01357 (2023) - Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement:
Predicting Code Coverage without Execution. CoRR abs/2307.13383 (2023) - Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr:
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR abs/2312.03173 (2023) - Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay:
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding. CoRR abs/2312.06719 (2023) - Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu:
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration. CoRR abs/2312.16307 (2023) - 2022
- Anish Agarwal:
Causal Inference for Social and Engineering Systems. MIT, USA, 2022 - Anish Agarwal:
Causal Inference for Social and Engineering Systems. SIGMETRICS Perform. Evaluation Rev. 50(3): 7-11 (2022) - Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents. DL4SR@CIKM 2022 - Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler:
Causal Imputation via Synthetic Interventions. CLeaR 2022: 688-711 - Anish Agarwal, Abdullah Alomar, Devavrat Shah:
On Multivariate Singular Spectrum Analysis and Its Variants. SIGMETRICS (Abstracts) 2022: 79-80 - Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR abs/2201.01811 (2022) - Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents. CoRR abs/2203.15349 (2022) - Anish Thite, Mohan Dodda, Pulak Agarwal, Jason Zutty:
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification. CoRR abs/2205.13033 (2022) - Anish Agarwal, Vasilis Syrgkanis:
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime. CoRR abs/2210.11003 (2022) - Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu:
Network Synthetic Interventions: A Framework for Panel Data with Network Interference. CoRR abs/2210.11355 (2022) - Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu:
Strategyproof Decision-Making in Panel Data Settings and Beyond. CoRR abs/2211.14236 (2022) - 2021
- Anish Thite, Mohan Dodda, Alex Liu, Pulak Agarwal, Jason Zutty:
Concurrent neural tree and data preprocessing AutoML for image classification. GECCO Companion 2021: 1990-1993
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