Nan Rosemary Ke
- A Deep Reinforcement Learning Chatbot
2017/09/07 by Iulian V. Serban, Iulian Vlad Serban, Serban, Iulian V. +37 · 1 voice · 17 citations
Computer Science · #Topic Modeling #Speech and dialogue systems #Mobile Crowdsensing and Crowdsourcing
- Toward Causal Representation Learning
2021/02/26 by Bernhard Scholkopf, Bernhard Schölkopf, Francesco Locatello +5 · 178 citations
Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
- Towards Causal Representation Learning
2021/02/22 by Bernhard Schölkopf, Schölkopf, Bernhard, Francesco Locatello +11 · 2 voices · 15 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Coordination Among Neural Modules Through a Shared Global Workspace
2021/03/01 by Anirudh Goyal, Aniket Didolkar, Goyal, Anirudh +19 · 1 voice · 10 citations
Computer Science · Engineering · Mathematics · #Ferroelectric and Negative Capacitance Devices #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG #stat.ML
- Learning Neural Causal Models from Unknown Interventions
2019/10/02 by Nan Rosemary Ke, Olexa Bilaniuk, Ke, Nan Rosemary +10 · 13 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Cascading Bandits for Large-Scale Recommendation Problems
2016/03/17 by Shi Zong, Hao Ni, Zong, Shi +9 · 6 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Recommender Systems and Techniques
- AI-Assisted Generation of Difficult Math Questions
2024/07/30 by Vedant Shah, Shah, Vedant, Dingli Yu +20 · 3 voices · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #cs.AI #cs.LG
- A Deep Reinforcement Learning Chatbot (Short Version)
2018/01/20 by Iulian V. Serban, Chinnadhurai Sankar, Serban, Iulian V. +33 · 1 voice
#cs.CL #cs.AI #cs.LG #cs.NE #stat.ML
- On the Convergence of Continuous Constrained Optimization for Structure\n Learning
2020/11/22 by Ignavier Ng, Sébastien Lachapelle, Ng, Ignavier +8 · 5 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Molecular Junctions and Nanostructures #Neural Networks and Reservoir Computing
- Retrieval-Augmented Reinforcement Learning
2022/02/17 by Goyal, Anirudh, Abram L. Friesen, Friesen, Abram L. +24 · 6 citations
Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
- Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future
2019/03/05 by Nan Rosemary Ke, Ke, Nan Rosemary, Amanpreet Singh +10 · 5 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
2018/09/11 by Nan Rosemary Ke, Anirudh Goyal, Ke, Nan Rosemary +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Learning Neural Causal Models with Active Interventions
2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Z-Forcing: Training Stochastic Recurrent Networks
2017/11/15 by Anirudh Goyal, Goyal, Anirudh, Alessandro Sordoni +7 · 3 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling
- Can foundation models actively gather information in interactive environments to test hypotheses?
2024/12/09 by Danny P. Sawyer, Sawyer, Danny P., Nan Rosemary Ke +25 · 3 voices · 2 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Semantic Web and Ontologies #Data Visualization and Analytics
- Amortized learning of neural causal representations
2020/08/21 by Nan Rosemary Ke, Jane X. Wang, Ke, Nan Rosemary +7 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare
- Variational Walkback: Learning a Transition Operator as a Stochastic\n Recurrent Net
2017/11/06 by Anirudh Goyal, Goyal, Anirudh, Nan Rosemary Ke +5 · 1 citation
Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Prequential MDL for Causal Structure Learning with Neural Networks
2021/07/02 by Jörg Bornschein, Bornschein, Jorg, Silvia Chiappa +5 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms