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9, pp. 9584 - 9594. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Twelveth Symposium on Educational Advances in Artificial Intelligence (EAAI 2022), Virtually, February 22, 2022 - March 01, 2022. AAAI Press, Palo Alto, CA (2022)
On the Fairness of Causal Algorithmic Recourse. In: Thirty-Sixth AAAI Conference on Artificial Intelligence, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, The Twelveth Symposium on Educational Advances in Artificial Intelligence, Vol. 182.
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Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 1421 - 1433. 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022), Seoul, June 21, 2022 - June 24, 2022. ACM, New York, NY (2022)
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Larger Skin-Surface Contact Through a Fingertip Wearable Improves Roughness Perception. In: Haptics: Science, Technology, Applications, pp. 171 - 179 (Eds. Seifi, H.; Kappers, A. M. L.; Schneider, O.; Drewing, K.; Pacchierotti, C. et al.). 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (EuroHaptics 2022), Hamburg, May 22, 2022 - May 25, 2022. Springer, Cham (2022)
184.
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30, pp. 24707 - 24718 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin , Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Planning from Pixels in Environments with Combinatorially Hard Search Spaces. In: Advances in Neural Information Processing Systems 34, Vol. 185.
Conference Paper
21, pp. 17518 - 17531 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. In: Advances in Neural Information Processing Systems 34, Vol. 186.
Conference Paper
26, pp. 21732 - 21743 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Hierarchical Reinforcement Learning with Timed Subgoals. In: Advances in Neural Information Processing Systems 34, Vol. 187.
Conference Paper
29, pp. 24111 - 24123 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
DiBS: Differentiable Bayesian Structure Learning. In: Advances in Neural Information Processing Systems 34, Vol. 188.
Conference Paper
25, pp. 20708 - 20720 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Local policy search with Bayesian optimization. In: Advances in Neural Information Processing Systems 34, Vol. 189.
Conference Paper
15, pp. 12013 - 12026 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. In: Advances in Neural Information Processing Systems 34, Vol. 190.
Conference Paper
16, pp. 13032 - 13044 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Shape As Points: A Differentiable Poisson Solver. In: Advances in Neural Information Processing Systems 34, Vol. 191.
Conference Paper
14, pp. 10985 - 10998 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Dynamic Inference with Neural Interpreters. In: Advances in Neural Information Processing Systems 34, Vol. 192.
Conference Paper
22, pp. 18126 - 18136 (Eds. Ranzato , M.; Beygelzimer , A.; Dauphin , Y.; Liang , P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2022 - December 14, 2022. Curran Associates, Inc., Red Hook, NY (2022)
On the Frequency Bias of Generative Models. In: Advances in Neural Information Processing Systems 34, Vol. 193.
Conference Paper
27, pp. 22905 - 22918 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
Causal Influence Detection for Improving Efficiency in Reinforcement Learning. In: Advances in Neural Information Processing Systems 34, Vol. 194.
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4, pp. 2810 - 2822 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NY (2022)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. In: Advances in Neural Information Processing Systems 34, Vol. 195.
Conference Paper
9, pp. 7385 - 7396 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc. (2022)
Regret Bounds for Gaussian-Process Optimization in Large Domains. In: Advances in Neural Information Processing Systems 34, Vol. 196.
Conference Paper
22, pp. 18049 - 18062 (Eds. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, December 06, 2021 - December 14, 2021. Curran Associates, Inc., Red Hook, NJ (2022)
Locality Sensitive Teaching. In: Advances in Neural Information Processing Systems 34, Vol. 197.
Conference Paper
13, pp. 10391 - 10402 (Eds. Meila, M.; Zhang, T.). 38th International Conference on Machine Learning (ICML 2021), Online, July 18, 2021 - July 24, 2021. PMLR (2022)
On Disentangled Representations Learned from Correlated Data. In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Vol. 198.
Conference Paper
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. In: 2021 IEEE 60th Conference on Decision and Control (CDC 2021), pp. 5122 - 5129. IEEE Conference on Decision and Control (CDC 2021), Austin, December 14, 2021 - December 17, 2021. IEEE, Piscataway, NJ (2022)
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Model-Based Quality-Diversity Search for Efficient Robot Learning. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), pp. 9675 - 9680. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, September 27, 2020 - October 01, 2020. IEEE, Piscataway, NJ (2022)
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Deep Adversarial Reinforcement Learning for Object Disentangling. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), pp. 5504 - 5510. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, September 27, 2020 - October 01, 2020. IEEE, Piscataway, NJ (2022)