| 2020 | An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. | Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui |
| 2020 | Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. | Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian |
| 2020 | Flexible Approximate Inference via Stratified Normalizing Flows. | Chris Cundy, Stefano Ermon |
| 2020 | PoRB-Nets: Poisson Process Radial Basis Function Networks. | Beau Coker, Melanie Fernandes Pradier, Finale Doshi-Velez |
| 2020 | Skewness Ranking Optimization for Personalized Recommendation. | Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai |
| 2020 | Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. | Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos |
| 2020 | Neural Likelihoods via Cumulative Distribution Functions. | Pawel M. Chilinski, Ricardo Silva |
| 2020 | Statistically Efficient Greedy Equivalence Search. | Max Chickering |
| 2020 | Walking on Two Legs: Learning Image Segmentation with Noisy Labels. | Guohua Cheng, Hongli Ji, Yan Tian |
| 2020 | Fair Contextual Multi-Armed Bandits: Theory and Experiments. | Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis |
| 2020 | Towards Threshold Invariant Fair Classification. | Mingliang Chen, Min Wu |
| 2020 | Differentially Private Top-k Selection via Stability on Unknown Domain. | Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao |
| 2020 | Lagrangian Decomposition for Neural Network Verification. | Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar |
| 2020 | MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. | Ioan Gabriel Bucur, Tom Claassen, Tom Heskes |
| 2020 | Amortized variance reduction for doubly stochastic objective. | Ayman Boustati, Sattar Vakili, James Hensman, S. T. John |
| 2020 | Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. | Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren |
| 2020 | Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. | Aurlien Bibaut, Antoine Chambaz, Mark J. van der Laan |
| 2020 | Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems. | Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar |
| 2020 | Divergence-Based Motivation for Online EM and Combining Hidden Variable Models. | Ehsan Amid, Manfred K. Warmuth |
| 2020 | Structure Learning for Cyclic Linear Causal Models. | Carlos Amndola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu |
| 2020 | Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. | Hongjoon Ahn, Taesup Moon |
| 2020 | Bayesian Online Prediction of Change Points. | Diego Agudelo-Espaa, Sebastin Gmez-Gonzlez, Stefan Bauer, Bernhard Schlkopf, Jan Peters |
| 2020 | Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. | Priyank Agrawal, Theja Tulabandhula |
| 2020 | No-regret Exploration in Contextual Reinforcement Learning. | Aditya Modi, Ambuj Tewari |
| 2019 | Comparing EM with GD in Mixture Models of Two Components. | Guojun Zhang, Pascal Poupart, George Trimponias |