Rateike, M.; Majumdar, A.; Mineeva, O.; Gummadi, K. P.; Valera, I.: 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, S. 1421 - 1433. 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022), Seoul, 21. Juni 2022 - 24. Juni 2022. ACM, New York, NY (2022)

Gueorguiev, D.; Javot, B.; Spiers, A.; Kuchenbecker, K. J.: Larger Skin-Surface Contact Through a Fingertip Wearable Improves Roughness Perception. In: Haptics: Science, Technology, Applications, S. 171 - 179 (Hg. 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, 22. Mai 2022 - 25. Mai 2022. Springer, Cham (2022)

Bagatella, M.; Olšák, M.; Rolinek, M.; Martius, G.: Planning from Pixels in Environments with Combinatorially Hard Search Spaces. In: Advances in Neural Information Processing Systems 34, Bd. 30, S. 24707 - 24718 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin , Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Gumbsch, C.; Butz, M. V.; Martius, G.: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. In: Advances in Neural Information Processing Systems 34, Bd. 21, S. 17518 - 17531 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Gürtler, N.; Büchler, D.; Martius, G.: Hierarchical Reinforcement Learning with Timed Subgoals. In: Advances in Neural Information Processing Systems 34, Bd. 26, S. 21732 - 21743 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Lorch, L.; Rothfuss, J.; Schölkopf, B.; Krause, A.: DiBS: Differentiable Bayesian Structure Learning. In: Advances in Neural Information Processing Systems 34, Bd. 29, S. 24111 - 24123 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Müller, S.; Rohr, A. v.; Trimpe, S.: Local policy search with Bayesian optimization. In: Advances in Neural Information Processing Systems 34, Bd. 25, S. 20708 - 20720 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Paschalidou, D.; Kar, A.; Shugrina, M.; Kreis, K.; Geiger, A.; Fidler, S.: ATISS: Autoregressive Transformers for Indoor Scene Synthesis. In: Advances in Neural Information Processing Systems 34, Bd. 15, S. 12013 - 12026 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Peng, S.; Jiang, C. ".; Liao, Y.; Niemeyer, M.; Pollefeys, M.; Geiger, A.: Shape As Points: A Differentiable Poisson Solver. In: Advances in Neural Information Processing Systems 34, Bd. 16, S. 13032 - 13044 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Rahaman, N.; Gondal, M. W.; Joshi, S.; Gehler, P.; Bengio, Y.; Locatello, F.; Schölkopf, B.: Dynamic Inference with Neural Interpreters. In: Advances in Neural Information Processing Systems 34, Bd. 14, S. 10985 - 10998 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Schwarz, K.; Liao, Y.; Geiger, A.: On the Frequency Bias of Generative Models. In: Advances in Neural Information Processing Systems 34, Bd. 22, S. 18126 - 18136 (Hg. Ranzato , M.; Beygelzimer , A.; Dauphin , Y.; Liang , P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2022 - 14. Dezember 2022. Curran Associates, Inc., Red Hook, NY (2022)

Seitzer, M.; Schölkopf, B.; Martius, G.: Causal Influence Detection for Improving Efficiency in Reinforcement Learning. In: Advances in Neural Information Processing Systems 34, Bd. 27, S. 22905 - 22918 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Wang, S.; Mihajlovic, M.; Ma, Q.; Geiger, A.; Tang, S.: MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. In: Advances in Neural Information Processing Systems 34, Bd. 4, S. 2810 - 2822 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NY (2022)

Wüthrich, M.; Schölkopf, B.; Krause, A.: Regret Bounds for Gaussian-Process Optimization in Large Domains. In: Advances in Neural Information Processing Systems 34, Bd. 9, S. 7385 - 7396 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc. (2022)

Xu, Z.; Chen, B.; Li, C.; Liu, W.; Song, L.; Lin, Y.; Shrivastava, A.: Locality Sensitive Teaching. In: Advances in Neural Information Processing Systems 34, Bd. 22, S. 18049 - 18062 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc., Red Hook, NJ (2022)

Träuble, F.; Creager, E.; Kilbertus, N.; Locatello, F.; Dittadi, A.; Goya, A.; Schölkopf, B.; Bauer, S.: On Disentangled Representations Learned from Correlated Data. In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Bd. 13, S. 10391 - 10402 (Hg. Meila, M.; Zhang, T.). 38th International Conference on Machine Learning (ICML 2021), Online, 18. Juli 2021 - 24. Juli 2021. PMLR (2022)

Fiedler, C.; Scherer, C. W.; Trimpe, S.: Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. In: 2021 IEEE 60th Conference on Decision and Control (CDC 2021), S. 5122 - 5129. IEEE Conference on Decision and Control (CDC 2021), Austin, 14. Dezember 2021 - 17. Dezember 2021. IEEE, Piscataway, NJ (2022)

Keller, L.; Tanneberg, D.; Stark, S.; Peters, J.: Model-Based Quality-Diversity Search for Efficient Robot Learning. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), S. 9675 - 9680. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, 27. September 2020 - 01. Oktober 2020. IEEE, Piscataway, NJ (2022)

Laux, M.; Arenz, O.; Peters, J.; Pajarinen, J.: Deep Adversarial Reinforcement Learning for Object Disentangling. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), S. 5504 - 5510. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, 27. September 2020 - 01. Oktober 2020. IEEE, Piscataway, NJ (2022)

Fan, Z.; Spurr, A.; Kocabas, M.; Tang, S.; Black, M. J.; Hilliges, O.: Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation. In: 2021 International Conference on 3D Vision (3DV 2021), S. 1 - 10. International Conference on 3D Vision (3DV 2021), Virtual, 01. Dezember 2021 - 03. Dezember 2021. IEEE, Piscataway, NJ (2022)