220 results
(View BibTeX file of all listed publications)

**Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 1-8, IEEE, May 2018 (conference)

**Sobolev GAN**
*6th International Conference on Learning Representations (ICLR)*, May 2018, *equal contribution (conference)

**Temporal Difference Models: Model-Free Deep RL for Model-Based Control**
*6th International Conference on Learning Representations (ICLR)*, May 2018, *equal contribution (conference)

**Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning**
*6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Tempered Adversarial Networks**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Learning Coupled Forward-Inverse Models with Combined Prediction Errors**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 2433-2439, IEEE, May 2018 (conference)

**Learning Disentangled Representations with Wasserstein Auto-Encoders**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Automatic Estimation of Modulation Transfer Functions**
*IEEE International Conference on Computational Photography (ICCP)*, May 2018 (conference)

**Causal Discovery Using Proxy Variables**
*Workshop at 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 596-601, IEEE, May 2018 (conference)

**Group invariance principles for causal generative models**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Boosting Variational Inference: an Optimization Perspective**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Cause-Effect Inference by Comparing Regression Errors**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) *, 84, pages: 900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Will People Like Your Image? Learning the Aesthetic Space**
*2018 IEEE Winter Conference on Applications of Computer Vision (WACV)*, pages: 2048-2057, March 2018 (conference)

**Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation**
*Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM)*, pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, Febuary 2018 (conference)

**Functional Programming for Modular Bayesian Inference**
*Proceedings of the ACM on Functional Programming (ICFP)*, 2(Article No. 83):1-29, ACM, 2018 (conference)

**Automatic Bayesian Density Analysis**
2018 (conference) Submitted

**Magic Tunnels**
ICLR 2019, 2018, *equal contribution (conference) Submitted

Babbar, R., Schölkopf, B.
**Adversarial Extreme Multi-label Classification**
2018 (conference) Submitted

**k–SVRG: Variance Reduction for Large Scale Optimization**
In 2018 (inproceedings) Submitted

**Probabilistic Deep Learning using Random Sum-Product Networks**
2018 (conference) Submitted

**A Differentially Private Kernel Two-Sample Test**
2018, *equal contribution (conference) Submitted

**Counterfactuals uncover the modular structure of deep generative models**
2018 (conference) Submitted

**Riemannian Adaptive Optimization Methods**
ICLR 2019, 2018 (conference) Submitted

**Denotational Validation of Higher-order Bayesian Inference**
*Proceedings of the ACM on Principles of Programming Languages (POPL)*, 2(Article No. 60):1-29, ACM, 2018 (conference)

**Poincaré GloVe: Hyperbolic Word Embeddings**
ICLR 2019, 2018, *equal contribution (conference) Submitted

**Human Pose Estimation with Fields of Parts**
In *Computer Vision – ECCV 2014*, LNCS 8693, pages: 331-346, Lecture Notes in Computer Science, (Editors: Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne), Springer, 13th European Conference on Computer Vision, September 2014 (inproceedings)

**Probabilistic Progress Bars**
In *Conference on Pattern Recognition (GCPR)*, 8753, pages: 331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 (inproceedings)

**Seeing the Arrow of Time**
*Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on*, pages: 2043-2050, IEEE, CVPR, June 2014 (conference)

**Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics**
In *Proceedings of the 17th International Conference on Artificial Intelligence and Statistics*, 33, pages: 347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 (inproceedings)

**A Visual Analytics Approach to Study Anatomic Covariation**
In *Proceedings of IEEE Pacific Visualization 2014*, pages: 161-168, March 2014 (inproceedings)

**Multi-Task Feature Selection on Multiple Networks via Maximum Flows**
In *Proceedings of the 2014 SIAM International Conference on Data Mining *, pages: 199-207, SIAM, 2014 (inproceedings)

**Quantifying Information Overload in Social Media and its Impact on Social Contagions**
In *Proceedings of the Eighth International Conference on Weblogs and Social Media*, pages: 170-179, (Editors: E. Adar, P. Resnick, M. De Choudhury, B. Hogan, and A. Oh), AAAI Press, ICWSM, 2014 (inproceedings)

**Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 793-801, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Interaction Primitives for Human-Robot Cooperation Tasks**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 2831-2837, IEEE, ICRA, 2014 (inproceedings)

**Learning to Predict Phases of Manipulation Tasks as Hidden States**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 4009-4014, IEEE, ICRA, 2014 (inproceedings)

**Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes**
In *Eurographics Conference on Visualization, Short Papers*, (Editors: Elmqvist, N. and Hlawitschka, M. and Kennedy, J.), EuroVis, 2014 (inproceedings)

**A Permutation-Based Kernel Conditional Independence Test**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014)*, pages: 132-141, (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon, UAI2014, 2014 (inproceedings)

**A unifying view of representer theorems**
In *Proceedings of the 31th International Conference on Machine Learning*, 32, pages: 748-756, (Editors: Xing, E. P. and Jebera, T.), ICML, 2014 (inproceedings)

**Riemannian Sparse Coding for Positive Definite Matrices **
In *13th European Conference on Computer Vision*, LNCS 8691, pages: 299-314, (Editors: Fleet, D., Pajdla, T., Schiele, B., and Tuytelaars, T.), Springer, ECCV, 2014 (inproceedings)

**Probabilistic ODE Solvers with Runge-Kutta Means**
In *Advances in Neural Information Processing Systems 27*, pages: 739-747, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Mask-Specific Inpainting with Deep Neural Networks**
In *Pattern Recognition (GCPR 2014)*, pages: 523-534, (Editors: X Jiang, J Hornegger, and R Koch), Springer, 2014, Lecture Notes in Computer Science (inproceedings)

**Randomized Nonlinear Component Analysis**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 1359-1367, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Causal and Anti-Causal Learning in Pattern Recognition for Neuroimaging**
In *4th International Workshop on Pattern Recognition in Neuroimaging (PRNI)*, IEEE , PRNI, 2014 (inproceedings)

**Bayesian Gait Optimization for Bipedal Locomotion**
In *Proceedings of the 8th International Conference on Learning and Intelligent Optimization *, LNCS 8426, pages: 274-290, Lecture Notes in Computer Science, (Editors: Pardalos, PM., Resende, MGC., Vogiatzis, C., and Walteros, JL.), Springer, LION, 2014 (inproceedings)

**Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot**
In *Proceedings of the 13th International Conference on Intelligent Autonomous Systems*, 302, pages: 1601-1611, Advances in Intelligent Systems and Computing, (Editors: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H.), Springer, IAS, 2014 (inproceedings)

**Kernel Mean Estimation via Spectral Filtering**
In *Advances in Neural Information Processing Systems 27*, pages: 1-9, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Shaping Social Activity by Incentivizing Users**
In *Advances in Neural Information Processing Systems 27*, (Editors: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, ND., and Weinberger, KQ.), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Consistency of Causal Inference under the Additive Noise Model**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 478-495, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)