| A Classification Module for Genetic Programming Algorithms in JCLEC |
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5 |
| A Comprehensive Survey on Safe Reinforcement Learning |
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0 |
| A Compression Technique for Analyzing Disagreement-Based Active Learning |
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1 |
| A Direct Estimation of High Dimensional Stationary Vector Autoregressions |
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4 |
| A Finite Sample Analysis of the Naive Bayes Classifier |
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1 |
| A General Framework for Fast Stagewise Algorithms |
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4 |
| A Statistical Perspective on Algorithmic Leveraging |
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5 |
| A View of Margin Losses as Regularizers of Probability Estimates |
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4 |
| AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models |
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6 |
| Absent Data Generating Classifier for Imbalanced Class Sizes |
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5 |
| Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies |
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1 |
| Adaptive Strategy for Stratified Monte Carlo Sampling |
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1 |
| Agnostic Insurability of Model Classes |
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0 |
| Agnostic Learning of Disjunctions on Symmetric Distributions |
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0 |
| Alexey Chervonenkis's Bibliography |
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0 |
| Alexey Chervonenkis's Bibliography: Introductory Comments |
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0 |
| An Asynchronous Parallel Stochastic Coordinate Descent Algorithm |
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✅ |
❌ |
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4 |
| Approximate Modified Policy Iteration and its Application to the Game of Tetris |
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2 |
| Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization |
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5 |
| Bayesian Nonparametric Covariance Regression |
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6 |
| Bayesian Nonparametric Crowdsourcing |
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2 |
| CEKA: A Tool for Mining the Wisdom of Crowds |
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3 |
| Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery |
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5 |
| Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 |
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4 |
| Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection |
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3 |
| Comparing Hard and Overlapping Clusterings |
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5 |
| Completing Any Low-rank Matrix, Provably |
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2 |
| Complexity of Equivalence and Learning for Multiplicity Tree Automata |
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1 |
| Composite Self-Concordant Minimization |
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6 |
| Concave Penalized Estimation of Sparse Gaussian Bayesian Networks |
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6 |
| Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA |
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1 |
| Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets |
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✅ |
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4 |
| Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis |
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✅ |
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2 |
| Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs |
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4 |
| Decision Boundary for Discrete Bayesian Network Classifiers |
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0 |
| Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression |
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❌ |
❌ |
✅ |
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2 |
| Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses |
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0 |
| Discrete Restricted Boltzmann Machines |
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0 |
| Distributed Matrix Completion and Robust Factorization |
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❌ |
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6 |
| Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates |
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❌ |
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5 |
| Eigenwords: Spectral Word Embeddings |
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❌ |
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5 |
| Encog: Library of Interchangeable Machine Learning Models for Java and C# |
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✅ |
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❌ |
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3 |
| Evolving GPU Machine Code |
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6 |
| Exceptional Rotations of Random Graphs: A VC Theory |
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0 |
| Existence and Uniqueness of Proper Scoring Rules |
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0 |
| Fast Cross-Validation via Sequential Testing |
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❌ |
❌ |
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5 |
| Fast Rates in Statistical and Online Learning |
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0 |
| Flexible High-Dimensional Classification Machines and Their Asymptotic Properties |
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❌ |
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5 |
| From Dependency to Causality: A Machine Learning Approach |
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6 |
| Generalized Hierarchical Kernel Learning |
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❌ |
❌ |
✅ |
5 |
| Geometric Intuition and Algorithms for Ev--SVM |
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❌ |
❌ |
✅ |
5 |
| Geometry and Expressive Power of Conditional Restricted Boltzmann Machines |
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1 |
| Global Convergence of Online Limited Memory BFGS |
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4 |
| Graphical Models via Univariate Exponential Family Distributions |
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✅ |
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❌ |
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2 |
| Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit |
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❌ |
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❌ |
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3 |
| Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints |
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2 |
| Joint Estimation of Multiple Precision Matrices with Common Structures |
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✅ |
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✅ |
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4 |
| Lasso Screening Rules via Dual Polytope Projection |
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5 |
| Learning Equilibria of Games via Payoff Queries |
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1 |
| Learning Sparse Low-Threshold Linear Classifiers |
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1 |
| Learning Theory of Randomized Kaczmarz Algorithm |
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❌ |
✅ |
1 |
| Learning Transformations for Clustering and Classification |
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4 |
| Learning Using Privileged Information: Similarity Control and Knowledge Transfer |
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0 |
| Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data |
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❌ |
✅ |
✅ |
❌ |
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4 |
| Learning to Identify Concise Regular Expressions that Describe Email Campaigns |
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✅ |
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4 |
| Learning with the Maximum Correntropy Criterion Induced Losses for Regression |
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❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Linear Dimensionality Reduction: Survey, Insights, and Generalizations |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Local Identification of Overcomplete Dictionaries |
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✅ |
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❌ |
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2 |
| Marginalizing Stacked Linear Denoising Autoencoders |
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✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares |
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✅ |
✅ |
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✅ |
❌ |
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6 |
| Minimax Analysis of Active Learning |
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1 |
| Multi-layered Gesture Recognition with Kinect |
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✅ |
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7 |
| Multiclass Learnability and the ERM Principle |
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1 |
| Multimodal Gesture Recognition via Multiple Hypotheses Rescoring |
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✅ |
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✅ |
❌ |
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5 |
| Network Granger Causality with Inherent Grouping Structure |
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✅ |
✅ |
❌ |
❌ |
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3 |
| Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards |
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❌ |
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3 |
| On Linearly Constrained Minimum Variance Beamforming |
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✅ |
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✅ |
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3 |
| On Semi-Supervised Linear Regression in Covariate Shift Problems |
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5 |
| On the Asymptotic Normality of an Estimate of a Regression Functional |
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❌ |
❌ |
❌ |
❌ |
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0 |
| On the Inductive Bias of Dropout |
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❌ |
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❌ |
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0 |
| Online Learning via Sequential Complexities |
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1 |
| Online Tensor Methods for Learning Latent Variable Models |
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❌ |
✅ |
✅ |
✅ |
6 |
| Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior |
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❌ |
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❌ |
❌ |
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0 |
| Optimal Estimation of Low Rank Density Matrices |
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❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Optimality of Poisson Processes Intensity Learning with Gaussian Processes |
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❌ |
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0 |
| PAC Optimal MDP Planning with Application to Invasive Species Management |
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❌ |
❌ |
❌ |
✅ |
2 |
| Perturbed Message Passing for Constraint Satisfaction Problems |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Photonic Delay Systems as Machine Learning Implementations |
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❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Plug-and-Play Dual-Tree Algorithm Runtime Analysis |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Predicting a Switching Sequence of Graph Labelings |
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1 |
| Preface to this Special Issue |
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0 |
| RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Rationality, Optimism and Guarantees in General Reinforcement Learning |
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❌ |
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❌ |
❌ |
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1 |
| Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima |
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❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Response-Based Approachability with Applications to Generalized No-Regret Problems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| SAMOA: Scalable Advanced Massive Online Analysis |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Second-Order Non-Stationary Online Learning for Regression |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Semi-Supervised Interpolation in an Anticausal Learning Scenario |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Statistical Topological Data Analysis using Persistence Landscapes |
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❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Strong Consistency of the Prototype Based Clustering in Probabilistic Space |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Supervised Learning via Euler's Elastica Models |
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❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| The Algebraic Combinatorial Approach for Low-Rank Matrix Completion |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Libra Toolkit for Probabilistic Models |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| The Randomized Causation Coefficient |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| The Sample Complexity of Learning Linear Predictors with the Squared Loss |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Towards an Axiomatic Approach to Hierarchical Clustering of Measures |
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❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| V-Matrix Method of Solving Statistical Inference Problems |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| partykit: A Modular Toolkit for Recursive Partytioning in R |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
2 |
| pyGPs -- A Python Library for Gaussian Process Regression and Classification |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
2 |