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Nathan Kallus
143  Ergebnisse:
Personensuche X
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1

Off-Policy Evaluation for Large Action Spaces via Policy Co..:

, In: Proceedings of the ACM on Web Conference 2024,
Sachdeva, Noveen ; Wang, Lequn ; Liang, Dawen.. - p. 3576-3585 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Proximal Reinforcement Learning: Efficient Off-Policy Evalu..:

Bennett, Andrew ; Kallus, Nathan
Operations Research.  72 (2024)  3 - p. 1071-1086 , 2024
Link: https://doi.org/10.1287/..
 
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3

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal I..:

Dorn, Jacob ; Guo, Kevin ; Kallus, Nathan
Journal of the American Statistical Association.  , 2024
Link: https://doi.org/10.1080/..
 
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4

Fast Rates for the Regret of Offline Reinforcement Learning:

Hu, Yichun ; Kallus, Nathan ; Uehara, Masatoshi
Mathematics of Operations Research.  , 2024
Link: https://doi.org/10.1287/..
 
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5

Is Cosine-Similarity of Embeddings Really About Similarity?:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Steck, Harald ; Ekanadham, Chaitanya ; Kallus, Nathan - p. 887-890 , 2024
Link: https://dl.acm.org/doi/1..
 
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6

Large Language Models as Zero-Shot Conversational Recommend..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
He, Zhankui ; Xie, Zhouhang ; Jha, Rahul... - p. 720-730 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

The variational method of moments:

Bennett, Andrew ; Kallus, Nathan
Journal of the Royal Statistical Society Series B: Statistical Methodology.  85 (2023)  3 - p. 810-841 , 2023
Link: https://doi.org/10.1093/..
 
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8

Efficient evaluation of natural stochastic policies in off-..:

Kallus, Nathan ; Uehara, Masatoshi
Biometrika.  111 (2023)  1 - p. 51-69 , 2023
Link: https://doi.org/10.1093/..
 
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9

Synthetic Control Analysis of the Short-Term Impact of New ..:

Zhou, Angela ; Koo, Andrew ; Kallus, Nathan...
Statistics and Public Policy.  11 (2023)  1 - p. , 2023
Link: https://doi.org/10.1080/..
 
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10

Estimating Structural Disparities for Face Models:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Ardeshir, Shervin ; Segalin, Cristina ; Kallus, Nathan - p. 10348-10357 , 2022
Link: https://doi.org/10.1109/..
 
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11

Treatment Effect Risk: Bounds and Inference:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Kallus, Nathan - p. 213 ff. , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Optimal weighting for estimating generalized average treatm..:

Kallus, Nathan ; Santacatterina, Michele
Journal of Causal Inference.  10 (2022)  1 - p. 123-140 , 2022
Link: https://doi.org/10.1515/..
 
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13

Minimax-optimal policy learning under unobserved confoundin:

, In: Management science
Kallus, Nathan ; Zhou, Angela. (2021)  5 - p. 2870-2890
Exemplare: Zentrale;
 
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14

On the Optimality of Randomization in Experimental Design: ..:

Kallus, Nathan
Journal of the Royal Statistical Society Series B: Statistical Methodology.  83 (2021)  2 - p. 404-409 , 2021
Link: https://doi.org/10.1111/..
 
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15

More robust estimation of average treatment effects using k..:

Kallus, Nathan ; Pennicooke, Brenton ; Santacatterina, Michele
Statistics in Medicine.  40 (2021)  10 - p. 2305-2320 , 2021
Link: https://doi.org/10.1002/..
 
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