| ID | Branch | Language | Name | Actions |
| 14631 | main | en | Task-level Training Signals for Learning Controllers | show |
| 14690 | main | en | Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning | show |
| 14705 | main | en | High Dimension Action Spaces in Robot Skill Learning | show |
| 10506 | main | en | k-groups/GDA | show |
| 15941 | main | en | Vizier | show |
| 16193 | main | en | Belief State Approaches to Signaling Alarms in Surveillance Systems | show |
| 16598 | main | en | Auton Lab Faculty | show |
| 10498 | main | en | cGraph | show |
| 14711 | main | en | Alias Detection in Link Data Sets | show |
| 14645 | main | en | Alias Detection in Link Data Sets | show |
| 14673 | main | en | Semantic based Biomedical Image Indexing and Retrieval | show |
| 14624 | main | en | A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion | show |
| 14625 | main | en | Covariant Policy Search | show |
| 14626 | main | en | Policy Search by Dynamic Programming | show |
| 14633 | main | en | cGraph: A Fast Graph-Based Method for Link Analysis and Queries | show |
| 14634 | main | en | Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries | show |
| 14635 | main | en | Tractable Group Detection on Large Link Data Sets | show |
| 14640 | main | en | Stochastic Link and Group Detection | show |
| 14671 | main | en | Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes | show |
| 14677 | main | en | Active Learning in Discrete Input Spaces | show |
| 14621 | main | en | Solving Uncertain Markov Decision Problems | show |
| 14672 | main | en | Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures | show |
| 14678 | main | en | Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods | show |
| 14679 | main | en | Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids | show |
| 14641 | main | en | Distributed Value Functions | show |
| 14688 | main | en | Q2: Memory-based active learning for optimizing noisy continuous functions | show |
| 14689 | main | en | Value Function Based Production Scheduling | show |
| 14606 | main | en | Simulation-based optimization of a stochastic product coating problem using hash-table cacheing of costs | show |
| 14620 | main | en | A tutorial on using the Vizier memory-based learning system | show |
| 14692 | main | en | Efficient Locally Weighted Polynomial Regression Predictions | show |
| 14693 | main | en | Memory based Stochastic Optimization for Validation and Tuning of Function Approximators | show |
| 14697 | main | en | Memory-based Stochastic Optimization | show |
| 17421 | main | en | Detecting Anomalous Records in Categorical Datasets | show |
| 17325 | main | en | Efficiently Computing Minimax Expected-Size Confidence Regions | show |
| 16144 | main | en | Active Learning For Identifying Function Threshold Boundaries | show |
| 17326 | main | en | Mapping the Cosmological Confidence Ball Surface | show |
| 18228 | main | en | Actively Learning Level-Sets of Composite Functions | show |
| 18478 | main | en | Anomaly Pattern Detection in Categorical Datasets | show |
| 19030 | main | en | Learning Linear Dynamical Systems without Sequence Information | show |
| 17457 | main | en | A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data | show |
| 19394 | main | en | Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization | show |
| 19395 | main | en | Learning Compressible Models | show |
| 18682 | main | en | Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text | show |
| 19481 | main | en | Learning Nonlinear Dynamic Models from Non-sequenced Data | show |
| 19581 | main | en | Projection Penalties: Dimension Reduction without Loss | show |
| 19778 | main | en | Learning Multiple Tasks with a Sparse Matrix-Normal Penalty | show |
| 19702 | main | en | Discovering Complex Anomalous Patterns | show |
| 20137 | main | en | Multi-label Output Codes using Canonical Correlation Analysis | show |
| 20102 | main | en | Hierarchical Probabilistic Models for Group Anomaly Detection | show |
| 2 | main | en | The Auton Lab | show |
| 3778 | main | en | Auton Lab People | show |
| 20272 | main | en | Nonparametric Divergence Estimators for Independent Subspace Analysis | show |
| 20287 | main | en | Nonparametric divergence estimation with applications to machine learning on distributions | show |
| 20100 | main | en | On the Estimation of alpha-Divergences | show |
| 20361 | main | en | Learning Dynamic Models from Non-sequenced Data | show |
| 20465 | main | en | Group Anomaly Detection using Flexible Genre Models | show |
| 20247 | main | en | Nonparametric Divergence Estimation for Machine Learning on Distributions | show |
| 20459 | main | en | Direct Robust Matrix Factorization | show |
| 20506 | main | en | Robust Nonparametric Copula Based Dependence Estimators | show |
| 20556 | main | en | Learning Auto-regressive Models from Sequence and Non-sequence Data | show |
| 20321 | main | en | Group Anomaly Detection Software | show |
| 20618 | main | en | Nonparametric Estimation of Conditional Information and Divergences | show |
| 20612 | main | en | Support Distribution Machines | show |
| 20734 | main | en | Source Code: Multi-Label Output Codes using Canonical Correlation Analysis | show |
| 20680 | main | en | Nonparametric Kernel Estimators for Image Classification | show |
| 20466 | main | en | Nonparametric Divergence Estimation | show |
| 20757 | main | en | Active Model Fitting | show |
| 20778 | main | en | Copula-based Kernel Dependency Measures | show |