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• Learning Influence Adoption in Heterogeneous Networks

  Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang

  6411-6419

  2022-06-28

• KOALA: A Kalman Optimization Algorithm with Loss Adaptivity

  Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

  6471-6479

  2022-06-28

• Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes

  Florent Delgrange, Ann Nowé, Guillermo A. Pérez

  6497-6505

  2022-06-28

• GoTube: Scalable Statistical Verification of Continuous-Depth Models

  Sophie A. Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu

  6755-6764

  2022-06-28

• A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions

  Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau

  6829-6837

  2022-06-28

• Introducing Symmetries to Black Box Meta Reinforcement Learning

  Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

  7202-7210

  2022-06-28

• Unsupervised Reinforcement Learning in Multiple Environments

  Mirco Mutti, Mattia Mancassola, Marcello Restelli

  7850-7858

  2022-06-28

• Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning

  Wachirawit Ponghiran, Kaushik Roy

  8001-8008

  2022-06-28

• DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems

  Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel

  8062-8071

  2022-06-28

• Reverse Differentiation via Predictive Coding

  Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

  8150-8158

  2022-06-28

• Listwise Learning to Rank Based on Approximate Rank Indicators

  Thibaut Thonet, Yagmur Gizem Cinar, Eric Gaussier, Minghan Li, Jean-Michel Renders

  8494-8502

  2022-06-28

• Learngene: From Open-World to Your Learning Task

  Qiu-Feng Wang, Xin Geng, Shu-Xia Lin, Shi-Yu Xia, Lei Qi, Ning Xu

  8557-8565

  2022-06-28

• Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics

  Sean Welleck, Peter West, Jize Cao, Yejin Choi

  8629-8637

  2022-06-28

• Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments

  Honguk Woo, Gwangpyo Yoo, Minjong Yoo

  8657-8665

  2022-06-28

• Learning-Augmented Algorithms for Online Steiner Tree

  Chenyang Xu, Benjamin Moseley

  8744-8752

  2022-06-28

• Learning to Identify Top Elo Ratings: A Dueling Bandits Approach

  Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

  8797-8805

  2022-06-28

• Natural Black-Box Adversarial Examples against Deep Reinforcement Learning

  Mengran Yu, Shiliang Sun

  8936-8944

  2022-06-28

• Fractional Adaptive Linear Units

  Julio Zamora, Anthony D. Rhodes, Lama Nachman

  8988-8996

  2022-06-28

• Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees

  Christopher Leet, Jiaoyang Li, Sven Koenig

  9386-9395

  2022-06-28

• MLink: Linking Black-Box Models for Collaborative Multi-Model Inference

  Mu Yuan, Lan Zhang, Xiang-Yang Li

  9475-9483

  2022-06-28

• Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise

  Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Marielle Stoelinga

  9669-9678

  2022-06-28

• Risk-Aware Stochastic Shortest Path

  Tobias Meggendorfer

  9858-9867

  2022-06-28

• Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback

  Junxiong Wang, Debabrota Basu, Immanuel Trummer

  10381-10390

  2022-06-28

• Probing Linguistic Information for Logical Inference in Pre-trained Language Models

  Zeming Chen, Qiyue Gao

  10509-10517

  2022-06-28

• InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation

  Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida

  10554-10562

  2022-06-28