Theory

A Combinatorial Perspective on Transfer Learning NeurIPS 2020 A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020 A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AI COLING 2020 A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract) AAAI 2020 Adapting Stable Matchings to Evolving Preferences AAAI 2020 Adapting to Misspecification in Contextual Bandits NeurIPS 2020 Adaptive Discretization for Model-Based Reinforcement Learning NeurIPS 2020 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 Adversarial Example Games NeurIPS 2020 Adversarially Robust Learning Could Leverage Computational Hardness. ALT 2020 Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 A Dynamical Central Limit Theorem for Shallow Neural Networks NeurIPS 2020 A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract) IJCAI 2020 A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case ICLR 2020 AGAMOTTO: How Persistent is your Persistent Memory Application? OSDI 2020 A Group-Theoretic Framework for Data Augmentation NeurIPS 2020 AI Trust in Business Processes: The Need for Process-Aware Explanations AAAI 2020 A Journey into Ontology Approximation: From Non-Horn to Horn IJCAI 2020 A Lighting-Invariant Point Processor for Shading CVPR 2020 A Limitation of the PAC-Bayes Framework NeurIPS 2020 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 Almost Surely Stable Deep Dynamics NeurIPS 2020 A Logic of Directions IJCAI 2020