Papers
Confounding-Robust Policy Improvement
Nathan Kallus, Angela Zhou
Connecting Optimization and Regularization Paths
Arun Suggala, Adarsh Prasad, Pradeep K Ravikumar
Connectionist Temporal Classification with Maximum Entropy Regularization
Hu Liu, Sheng Jin, Changshui Zhang
Constant Regret, Generalized Mixability, and Mirror Descent
Zakaria Mhammedi, Robert C. Williamson
Constrained Cross-Entropy Method for Safe Reinforcement Learning
Min Wen, Ufuk Topcu
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt et al.
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz et al.
Constructing Fast Network through Deconstruction of Convolution
Yunho Jeon, Junmo Kim
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song, Rui Shu, Nate Kushman et al.
Contamination Attacks and Mitigation in Multi-Party Machine Learning
Jamie Hayes, Olga Ohrimenko
Content preserving text generation with attribute controls
Lajanugen Logeswaran, Honglak Lee, Samy Bengio
Context-aware Synthesis and Placement of Object Instances
Donghoon Lee, Sifei Liu, Jinwei Gu et al.
Context-dependent upper-confidence bounds for directed exploration
Raksha Kumaraswamy, Matthew Schlegel, Adam White et al.
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms
Dylan J Foster, Akshay Krishnamurthy
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward
Lixing Chen, Jie Xu, Zhuo Lu
Contextual Pricing for Lipschitz Buyers
Jieming Mao, Renato Leme, Jon Schneider
Contextual Stochastic Block Models
Yash Deshpande, Subhabrata Sen, Andrea Montanari et al.
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson et al.
Contour location via entropy reduction leveraging multiple information sources
Alexandre Marques, Remi Lam, Karen Willcox
Contrastive Learning from Pairwise Measurements
Yi Chen, Zhuoran Yang, Yuchen Xie et al.
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
Yi Zhou, Zhe Wang, Yingbin Liang
Convex Elicitation of Continuous Properties
Jessica Finocchiaro, Rafael Frongillo
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Siyuan Huang, Siyuan Qi, Yinxue Xiao et al.
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Bruno Korbar, Du Tran, Lorenzo Torresani