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• Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

  Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

  10044-10052

  2020-04-03

• Exchangeable Generative Models with Flow Scans

  Christopher Bender, Kevin O'Connor, Yang Li, Juan Garcia, Junier Oliva, Manzil Zaheer

  10053-10060

  2020-04-03

• Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes

  Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer

  10061-10068

  2020-04-03

• Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes

  Pablo Samuel Castro

  10069-10076

  2020-04-03

• Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns

  YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck

  10077-10084

  2020-04-03

• Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory

  Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

  10085-10092

  2020-04-03

• A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments

  Juan Correa, Elias Bareinboim

  10093-10100

  2020-04-03

• Reliable and Efficient Anytime Skeleton Learning

  Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang

  10101-10109

  2020-04-03

• Deception through Half-Truths

  Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

  10110-10117

  2020-04-03

• Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift

  Jalal Etesami, Philipp Geiger

  10118-10125

  2020-04-03

• Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution

  Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry Vetrov

  10126-10135

  2020-04-03

• Title

  Robert Ganian, Thekla Hamm, Topi Talvitie

  10136-10143

  2020-04-03

• A MaxSAT-Based Framework for Group Testing

  Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S Meel

  10144-10152

  2020-04-03

• Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets

  Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour

  10153-10161

  2020-04-03

• Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction

  Ronny Hug, Wolfgang Hübner, Michael Arens

  10162-10169

  2020-04-03

• Probabilistic Reasoning Across the Causal Hierarchy

  Duligur Ibeling, Thomas Icard

  10170-10177

  2020-04-03

• The Choice Function Framework for Online Policy Improvement

  Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli

  10178-10185

  2020-04-03

• Estimating Causal Effects Using Weighting-Based Estimators

  Yonghan Jung, Jin Tian, Elias Bareinboim

  10186-10193

  2020-04-03

• Error-Correcting and Verifiable Parallel Inference in Graphical Models

  Negin Karimi, Petteri Kaski, Mikko Koivisto

  10194-10201

  2020-04-03

• Safe Linear Stochastic Bandits

  Kia Khezeli, Eilyan Bitar

  10202-10209

  2020-04-03

• General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains

  Sanghack Lee, Juan Correa, Elias Bareinboim

  10210-10217

  2020-04-03

• Temporal Logics Over Finite Traces with Uncertainty

  Fabrizio M Maggi, Marco Montali, Rafael Peñaloza

  10218-10225

  2020-04-03

• Parallel AND/OR Search for Marginal MAP

  Radu Marinescu, Akihiro Kishimoto, Adi Botea

  10226-10234

  2020-04-03

• Experimental Design for Optimization of Orthogonal Projection Pursuit Models

  Mojmir Mutny, Johannes Kirschner, Andreas Krause

  10235-10242

  2020-04-03

• Adversarial Disentanglement with Grouped Observations

  Jozsef Nemeth

  10243-10250

  2020-04-03