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• Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics

  Brendan Juba

  7866-7875

  2019-07-17

• Randomized Strategies for Robust Combinatorial Optimization

  Yasushi Kawase, Hanna Sumita

  7876-7883

  2019-07-17

• Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts

  Ximing Li, Jiaojiao Zhang, Jihong Ouyang

  7884-7891

  2019-07-17

• Finding All Bayesian Network Structures within a Factor of Optimal

  Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

  7892-7899

  2019-07-17

• Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

  Qi Lou, Rina Dechter, Alexander Ihler

  7900-7907

  2019-07-17

• Robust Ordinal Embedding from Contaminated Relative Comparisons

  Ke Ma, Qianqian Xu, Xiaochun Cao

  7908-7915

  2019-07-17

• On Lifted Inference Using Neural Embeddings

  Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

  7916-7923

  2019-07-17

• Anytime Recursive Best-First Search for Bounding Marginal MAP

  Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler

  7924-7932

  2019-07-17

• Semi-Parametric Sampling for Stochastic Bandits with Many Arms

  Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

  7933-7940

  2019-07-17

• Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling

  Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien

  7941-7948

  2019-07-17

• Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach

  Silviu Pitis

  7949-7956

  2019-07-17

• Structured Bayesian Networks: From Inference to Learning with Routes

  Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi

  7957-7965

  2019-07-17

• Compiling Bayesian Network Classifiers into Decision Graphs

  Andy Shih, Arthur Choi, Adnan Darwiche

  7966-7974

  2019-07-17

• Lifted Hinge-Loss Markov Random Fields

  Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

  7975-7983

  2019-07-17

• Counting and Sampling Markov Equivalent Directed Acyclic Graphs

  Topi Talvitie, Mikko Koivisto

  7984-7991

  2019-07-17

• Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning

  Hong Xie, Yongkun Li, John C. S. Lui

  7992-7999

  2019-07-17

• Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

  Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova

  8001-8008

  2019-07-17

• MotionTransformer: Transferring Neural Inertial Tracking between Domains

  Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

  8009-8016

  2019-07-17

• Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience

  Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

  8017-8024

  2019-07-17

• Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

  Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu

  8025-8033

  2019-07-17

• Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration

  Kai Liu, Hua Wang, Fei Han, Hao Zhang

  8034-8041

  2019-07-17

• Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies

  Robert Platt, Colin Kohler, Marcus Gualtieri

  8042-8049

  2019-07-17

• Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)

  Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati

  8050-8057

  2019-07-17

• That’s Mine! Learning Ownership Relations and Norms for Robots

  Zhi-Xuan Tan, Jake Brawer, Brian Scassellati

  8058-8065

  2019-07-17

• Probabilistic Model Checking of Robots Deployed in Extreme Environments

  Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster

  8066-8074

  2019-07-17