Papers
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits
Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das et al.
Coordination Boundary Identification with Similarity and Replaceability
Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto
Co-Production of Speech and Pointing Gestures in Clear and Perturbed Interactive Tasks: Multimodal Designation Strategies
Marion Dohen, Benjamin Roustan
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco, Davide Maltoni
Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
Annette Rios Gonzales, Don Tuggener
Coreference Resolution on Math Problem Text in Japanese
Takumi Ito, Takuya Matsuzaki, Satoshi Sato
Coresets for Vector Summarization with Applications to Network Graphs
Dan Feldman, Sedat Ozer, Daniela Rus
Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals
Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili et al.
Corralling a Band of Bandit Algorithms
Alekh Agarwal, Haipeng Luo, Behnam Neyshabur et al.
Correct by Construction Networks Using Stepwise Refinement
Leonid Ryzhyk, Nikolaj Bjørner, Marco Canini et al.
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
Yanan Sui, Joel W. Burdick
Correlational Gaussian Processes for Cross-Domain Visual Recognition
Chengjiang Long, Gang Hua
Correlation Analysis of Chronic Obstructive Pulmonary Disease (COPD) and its Biomarkers Using the Word Embeddings
Byeong-Hun Yoon, Yu-Seop Kim
Correspondence retrieval
Alexandr Andoni, Daniel Hsu, Kevin Shi et al.
Cortical microcircuits as gated-recurrent neural networks
Rui Costa, Ioannis Alexandros Assael, Brendan Shillingford et al.
Cost-Effective Active Learning from Diverse Labelers
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu et al.
Cost efficient gradient boosting
Sven Peter, Ferran Diego, Fred A. Hamprecht et al.
Cost-Optimal Learning of Causal Graphs
Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin, Suraj Narayanan S., Tom Everitt et al.
Count-Based Exploration with Neural Density Models
Georg Ostrovski, Marc G. Bellemare, Aäron Oord et al.
Counterfactual Data-Fusion for Online Reinforcement Learners
Andrew Forney, Judea Pearl, Elias Bareinboim
Counterfactual Fairness
Matt J Kusner, Joshua Loftus, Chris Russell et al.
Counterfactual Language Model Adaptation for Suggesting Phrases
Kenneth Arnold, Kai-Wei Chang, Adam Kalai
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
Carolin Lawrence, Artem Sokolov, Stefan Riezler
Countering Feedback Delays in Multi-Agent Learning
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.