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• On Fair Division under Heterogeneous Matroid Constraints

  Amitay Dror, Michal Feldman, Erel Segal-Halevi

  5312-5320

  2021-05-18

• Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings

  Alireza Farhadi, MohammadTaghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, Hadi Yami

  5355-5362

  2021-05-18

• Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games

  Gabriele Farina, Robin Schmucker, Tuomas Sandholm

  5372-5380

  2021-05-18

• Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games

  Gabriele Farina, Tuomas Sandholm

  5381-5390

  2021-05-18

• Present-Biased Optimization

  Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach

  5415-5422

  2021-05-18

• Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization

  Yuan Gao, Christian Kroer

  5432-5439

  2021-05-18

• Safe Search for Stackelberg Equilibria in Extensive-Form Games

  Chun Kai Ling, Noam Brown

  5541-5548

  2021-05-18

• Facility’s Perspective to Fair Facility Location Problems

  Chenhao Wang, Xiaoying Wu, Minming Li, Hau Chan

  5734-5741

  2021-05-18

• Differentiable Fluids with Solid Coupling for Learning and Control

  Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin

  6138-6146

  2021-05-18

• Algebra of Modular Systems: Containment and Equivalence

  Andrei Bulatov, Eugenia Ternovska

  6235-6243

  2021-05-18

• Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility

  Wolfgang Dvořák, Markus Ulbricht, Stefan Woltran

  6288-6295

  2021-05-18

• Testing Independence Between Linear Combinations for Causal Discovery

  Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

  6538-6546

  2021-05-18

• Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

  Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

  6822-6830

  2021-05-18

• A Blind Block Term Decomposition of High Order Tensors

  Yunfeng Cai, Ping Li

  6868-6876

  2021-05-18

• Using Hindsight to Anchor Past Knowledge in Continual Learning

  Arslan Chaudhry, Albert Gordo, Puneet Dokania, Philip Torr, David Lopez-Paz

  6993-7001

  2021-05-18

• Transfer Learning for Efficient Iterative Safety Validation

  Anthony Corso, Mykel J. Kochenderfer

  7125-7132

  2021-05-18

• Cost-aware Graph Generation: A Deep Bayesian Optimization Approach

  Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu

  7142-7150

  2021-05-18

• The Value-Improvement Path: Towards Better Representations for Reinforcement Learning

  Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver

  7160-7168

  2021-05-18

• Loop Estimator for Discounted Values in Markov Reward Processes

  Falcon Z. Dai, Matthew R. Walter

  7169-7175

  2021-05-18

• A One-Size-Fits-All Solution to Conservative Bandit Problems

  Yihan Du, Siwei Wang, Longbo Huang

  7254-7261

  2021-05-18

• Regret Bounds for Batched Bandits

  Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab Mirrokni

  7340-7348

  2021-05-18

• Collaborative Group Learning

  Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

  7431-7438

  2021-05-18

• Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression

  Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

  7439-7447

  2021-05-18

• DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

  Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening

  7647-7656

  2021-05-18

• Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size

  Christoph Hertrich, Martin Skutella

  7685-7693

  2021-05-18