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Publication search results
found 34 matches
- 2023
- Nigar Hashimzade, Oleg Kirsanov, Tatiana Kirsanova:
Distributional effects of endogenous discounting. Math. Soc. Sci. 122: 1-6 (2023) - Nathan Kallus, Miruna Oprescu:
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. AISTATS 2023: 6037-6060 - Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu:
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD 2023: 5215-5224 - 2022
- E. R. Sreekumar, P. O. Nameer:
A MaxEnt modelling approach to understand the climate change effects on the distributional range of White-bellied Sholakili Sholicola albiventris (Blanford, 1868) in the Western Ghats, India. Ecol. Informatics 70: 101702 (2022) - Hamed Rahimian, Güzin Bayraksan, Tito Homem-de-Mello:
Effective Scenarios in Multistage Distributionally Robust Optimization with a Focus on Total Variation Distance. SIAM J. Optim. 32(3): 1698-1727 (2022) - Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS 2022 - Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature selection for discovering distributional treatment effect modifiers. UAI 2022: 400-410 - Nathan Kallus, Miruna Oprescu:
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. CoRR abs/2205.11486 (2022) - Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR abs/2206.00516 (2022) - Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR abs/2210.07636 (2022) - Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic:
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap. CoRR abs/2212.04922 (2022) - Rui Xie, Yue Chen:
Distributionally Robust Planning Considering Wake Effect in Wind Farms and Decision-Dependent Uncertainty. CoRR abs/2212.14665 (2022) - 2021
- Martin Schäfer, Holger Gauza, Britta Stolterfoht:
Disentangling factors in the placement of manner adverbials in German: the effect of distributional similarity. CogSci 2021 - Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics. CVPR Workshops 2021: 2447-2456 - Junhyung Park, Uri Shalit, Bernhard Schölkopf, Krikamol Muandet:
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression. ICML 2021: 8401-8412 - Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes:
An Effective Baseline for Robustness to Distributional Shift. ICMLA 2021: 278-285 - Junhyung Park, Uri Shalit, Bernhard Schölkopf, Krikamol Muandet:
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression. CoRR abs/2102.08208 (2021) - Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics. CoRR abs/2104.11849 (2021) - Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes:
An Effective Baseline for Robustness to Distributional Shift. CoRR abs/2105.07107 (2021) - 2019
- S. M. Lavezzi, Maurizio Rocchetti, P. Bettica, Stefania Petrini, Giuseppe De Nicolao:
Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment. Comput. Methods Programs Biomed. 178: 329-342 (2019) - Hamed Rahimian, Güzin Bayraksan, Tito Homem-de-Mello:
Identifying effective scenarios in distributionally robust stochastic programs with total variation distance. Math. Program. 173(1-2): 393-430 (2019) - 2018
- Kwangho Kim, Jisu Kim, Edward H. Kennedy:
Causal effects based on distributional distances. CoRR abs/1806.02935 (2018) - Yingying Fan, Jinchi Lv, Jingbo Wang:
DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference. CoRR abs/1808.08469 (2018) - 2017
- Danlei Chen, Carol A. Jew, Benjamin Zinszer, Rajeev D. S. Raizada:
Anticipation Effect after Implicit Distributional Learning. CogSci 2017 - Dieke Oele, Gertjan van Noord:
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation. IWCS(2) 2017 - 2016
- Serguei V. S. Pakhomov, Gregory P. Finley, Reed McEwan, Yan Wang, Genevieve B. Melton:
Corpus domain effects on distributional semantic modeling of medical terms. Bioinform. 32(23): 3635-3644 (2016) - Magnus Sahlgren, Alessandro Lenci:
The Effects of Data Size and Frequency Range on Distributional Semantic Models. EMNLP 2016: 975-980 - Magnus Sahlgren, Alessandro Lenci:
The Effects of Data Size and Frequency Range on Distributional Semantic Models. CoRR abs/1609.08293 (2016) - 2015
- Karin Wanrooij, Johanna F. de Vos, Paul Boersma:
Distributional vowel training may not be effective for Dutch adults. ICPhS 2015 - 2014
- Christian Wartena:
On the effect of word frequency on distributional similarity. KONVENS 2014: 1-10
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