Papers

2,716 papers found
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo et al.
2017 NIPS
Mixture Matrix Completion
Daniel Pimentel-Alarcon
2018 NIPS
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
2018 NIPS
Provable Gaussian Embedding with One Observation
Ming Yu, Zhuoran Yang, Tuo Zhao et al.
2018 NIPS
Weakly Supervised Dense Event Captioning in Videos
Xuguang Duan, Wenbing Huang, Chuang Gan et al.
2018 NIPS
Gaussian Process Conditional Density Estimation
Vincent Dutordoir, Hugh Salimbeni, James Hensman et al.
2018 NIPS
Coupled Variational Bayes via Optimization Embedding
Bo Dai, Hanjun Dai, Niao He et al.
2018 NIPS
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis et al.
2018 NIPS
Benefits of over-parameterization with EM
Ji Xu, Daniel J. Hsu, Arian Maleki
2018 NIPS
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo, Guilherme Resende Borges, Pedro O.S. Vaz de Melo et al.
2018 NIPS
Re-evaluating evaluation
David Balduzzi, Karl Tuyls, Julien Perolat et al.
2018 NIPS
Direct Estimation of Differences in Causal Graphs
Yuhao Wang, Chandler Squires, Anastasiya Belyaeva et al.
2018 NIPS
2018 NIPS
Convex Elicitation of Continuous Properties
Jessica Finocchiaro, Rafael Frongillo
2018 NIPS
2018 NIPS
Causal Regularization
Dominik Janzing
2019 NIPS
First Order Motion Model for Image Animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov et al.
2019 NIPS
Anti-efficient encoding in emergent communication
Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux et al.
2019 NIPS
Covariate-Powered Empirical Bayes Estimation
Nikolaos Ignatiadis, Stefan Wager
2019 NIPS
Focused Quantization for Sparse CNNs
Yiren Zhao, Xitong Gao, Daniel Bates et al.
2019 NIPS
Noise-tolerant fair classification
Alex Lamy, Ziyuan Zhong, Aditya K Menon et al.
2019 NIPS
Memory Efficient Adaptive Optimization
Rohan Anil, Vineet Gupta, Tomer Koren et al.
2019 NIPS
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
2019 NIPS