## Stat Ml

- Apr 24 Consistency of community detection in multi-layer networks using spectral and matrix factorization methods
- Apr 24 A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications
- Apr 24 Learning from Comparisons and Choices
- Apr 24 Entropic Trace Estimates for Log Determinants
- Apr 24 A Neural Network model with Bidirectional Whitening
- Apr 24 Using Global Constraints and Reranking to Improve Cognates Detection
- Apr 24 Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings
- Apr 23 Overlapping Variable Clustering with Statistical Guarantees
- Apr 23 A General Theory for Training Learning Machine
- Apr 22 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
- Apr 22 Robust, Deep and Inductive Anomaly Detection
- Apr 22 Asynchronous Distributed Variational Gaussian Processes
- Apr 21 Scatteract: Automated extraction of data from scatter plots
- Apr 21 Feature selection algorithm based on Catastrophe model to improve the performance of regression analysis
- Apr 21 Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm
- Apr 21 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
- Apr 20 Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
- Apr 20 Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption
- Apr 20 Dynamic Graph Convolutional Networks
- Apr 20 Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
- Apr 20 Learning to Acquire Information
- Apr 20 BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs
- Apr 20 Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
- Apr 20 Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss
- Apr 20 Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging
- Apr 20 Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case
- Apr 20 Adversarial Neural Machine Translation
- Apr 20 Fast Generation for Convolutional Autoregressive Models
- Apr 20 Retrospective Higher-Order Markov Processes for User Trails
- Apr 20 SAFS: A Deep Feature Selection Approach for Precision Medicine
- Apr 19 Semi-supervised classification for dynamic Android malware detection
- Apr 19 Deterministic Quantum Annealing Expectation-Maximization Algorithm
- Apr 19 Noise-Tolerant Interactive Learning from Pairwise Comparisons with Near-Minimal Label Complexity
- Apr 19 Importance Sampled Stochastic Optimization for Variational Inference
- Apr 19 Universal Adversarial Perturbations Against Semantic Image Segmentation
- Apr 19 Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
- Apr 18 Diagonal RNNs in Symbolic Music Modeling
- Apr 18 Diagonal RNNs in Symbolic Music Modeling
- Apr 18 Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
- Apr 18 Understanding Negations in Information Processing: Learning from Replicating Human Behavior
- Apr 18 On the choice of the low-dimensional domain for global optimization via random embeddings
- Apr 18 Unsupervised Learning by Predicting Noise
- Apr 18 Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models
- Apr 18 Stein Variational Adaptive Importance Sampling
- Apr 18 Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
- Apr 18 Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity
- Apr 17 O$^2$TD: (Near)-Optimal Off-Policy TD Learning
- Apr 17 O$^2$TD: (Near)-Optimal Off-Policy TD Learning
- Apr 17 Does Neural Machine Translation Benefit from Larger Context?
- Apr 17 Statistical inference for high dimensional regression via Constrained Lasso
- Apr 17 Fast multi-output relevance vector regression
- Apr 17 Morpheo: Traceable Machine Learning on Hidden data
- Apr 17 Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
- Apr 17 Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction
- Apr 17 Bayesian Hybrid Matrix Factorisation for Data Integration
- Apr 17 Mixture modeling on related samples by $ψ$-stick breaking and kernel perturbation
- Apr 16 Boosting with Structural Sparsity: A Differential Inclusion Approach
- Apr 16 k-Means is a Variational EM Approximation of Gaussian Mixture Models
- Apr 16 Random Walk Sampling for Big Data over Networks
- Apr 16 Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction
- Apr 15 Machine Learning and the Future of Realism
- Apr 15 Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
- Apr 15 Metropolis Sampling
- Apr 15 Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem
- Apr 14 On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation
- Apr 14 Graphical Models: An Extension to Random Graphs, Trees, and Other Objects
- Apr 14 Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes
- Apr 14 Cross-media Similarity Metric Learning with Unified Deep Networks
- Apr 13 Stochastic Gradient Descent as Approximate Bayesian Inference
- Apr 13 Projection Free Rank-Drop Steps
- Apr 13 Learning Latent Representations for Speech Generation and Transformation
- Apr 13 MAGAN, Better than BEGAN
- Apr 13 Fashion Conversation Data on Instagram
- Apr 13 DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
- Apr 13 Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning
- Apr 13 3D Deep Learning for Biological Function Prediction from Physical Fields
- Apr 13 Infinite Sparse Structured Factor Analysis
- Apr 13 Close Yet Distinctive Domain Adaptation
- Apr 13 ZigZag: A new approach to adaptive online learning
- Apr 13 Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning
- Apr 13 On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks
- Apr 12 Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
- Apr 12 Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
- Apr 12 Beyond Uniform Priors in Bayesian Network Structure Learning
- Apr 12 Value Directed Exploration in Multi-Armed Bandits with Structured Priors
- Apr 12 Provable Self-Representation Based Outlier Detection in a Union of Subspaces
- Apr 12 Higher-order clustering in networks
- Apr 12 Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
- Apr 12 Determining Song Similarity via Machine Learning Techniques and Tagging Information
- Apr 12 MAGAN: Margin Adaptation for Generative Adversarial Networks
- Apr 12 MAGAN: Margin Adaptation for Generative Adversarial Networks
- Apr 12 A Proof of Orthogonal Double Machine Learning with $Z$-Estimators
- Apr 12 A Proof of Orthogonal Double Machine Learning with $Z$-Estimators
- Apr 12 Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction
- Apr 12 Investigation on the use of Hidden-Markov Models in automatic transcription of music
- Apr 12 Preferential Bayesian Optimization
- Apr 12 Joint Semi-supervised RSS Dimensionality Reduction and Fingerprint Based Algorithm for Indoor Localization
- Apr 12 Energy Propagation in Deep Convolutional Neural Networks
- Apr 12 Autoencode Your Networks
- Apr 12 Adversarial Attack Prevention
- Apr 12 Pólya Urn Latent Dirichlet Allocation: a sparse massively parallel sampler
- Apr 11 Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild
- Apr 11 A Neural Representation of Sketch Drawings
- Apr 11 The Space of Transferable Adversarial Examples
- Apr 11 Build a Pong Simulator
- Apr 11 Optimized Data Pre-Processing for Discrimination Prevention
- Apr 11 Interpretable Explanations of Black Boxes by Meaningful Perturbation
- Apr 11 Persian Wordnet Construction using Supervised Learning
- Apr 11 struc2vec: Learning Node Representations from Structural Identity
- Apr 11 Parametric Gaussian Process Regression for Big Data
- Apr 11 Federated Tensor Factorization for Computational Phenotyping
- Apr 10 CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
- Apr 10 A probabilistic data-driven model for planar pushing
- Apr 10 Loss Max-Pooling for Semantic Image Segmentation
- Apr 10 On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
- Apr 10 Reinterpreting Importance-Weighted Autoencoders
- Apr 10 Multi-Agent Diverse Generative Adversarial Networks
- Apr 10 Field of Groves: An Energy-Efficient Random Forest
- Apr 10 Can AIs learn to avoid human interruption?
- Apr 10 SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
- Apr 10 Multi-Kernel LS-SVM Based Bio-Clinical Data Integration: Applications to Ovarian Cancer
- Apr 10 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
- Apr 10 Bayesian Recurrent Neural Networks
- Apr 10 Bayesian Recurrent Neural Networks
- Apr 10 Group Importance Sampling for particle filtering and MCMC
- Apr 10 Integrating Additional Knowledge Into Estimation of Graphical Models
- Apr 10 Distributed Learning for Cooperative Inference
- Apr 10 Word Embeddings via Tensor Factorization
- Apr 9 Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
- Apr 9 Mixed Graphical Models for Causal Analysis of Multi-modal Variables
- Apr 9 Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing
- Apr 9 An Outlyingness Matrix for Multivariate Functional Data Classification
- Apr 8 Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
- Apr 8 Deep Reinforcement Learning framework for Autonomous Driving
- Apr 8 Interactive Graphics for Visually Diagnosing Forest Classifiers in R
- Apr 7 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- Apr 7 A Brief Introduction to the Temporal Group LASSO and its Potential Applications in Healthcare
- Apr 7 An Introduction to the Temporal Group LASSO and its Potential Applications in Healthcare
- Apr 7 Joint Probabilistic Linear Discriminant Analysis
- Apr 7 Fast Spectral Clustering Using Autoencoders and Landmarks
- Apr 7 Adversarial Generator-Encoder Networks
- Apr 7 Recurrent Environment Simulators
- Apr 7 Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data
- Apr 7 Jet Constituents for Deep Neural Network Based Top Quark Tagging
- Apr 7 When is Network Lasso Accurate?
- Apr 7 Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks
- Apr 7 Angle-Based Joint and Individual Variation Explained
- Apr 6 Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
- Apr 6 DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data
- Apr 6 An Automated Text Categorization Framework based on Hyperparameter Optimization
- Apr 6 ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
- Apr 6 Training Triplet Networks with GAN
- Apr 6 Encoder Based Lifelong Learning
- Apr 6 Cooperative network localization using hybrid range and angle measurements
- Apr 6 Statistical Efficiency of Compositional Nonparametric Prediction
- Apr 6 Massive Data Clustering in Moderate Dimensions from the Dual Spaces of Observation and Attribute Data Clouds
- Apr 6 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
- Apr 6 An Online Hierarchical Algorithm for Extreme Clustering
- Apr 6 Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
- Apr 6 Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks
- Apr 6 Learning Certifiably Optimal Rule Lists for Categorical Data
- Apr 6 Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds
- Apr 5 The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
- Apr 5 Nonnegative/binary matrix factorization with a D-Wave quantum annealer
- Apr 5 Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation
- Apr 5 Comment on "Biologically inspired protection of deep networks from adversarial attacks"
- Apr 5 MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
- Apr 5 Convolutional Neural Networks for Page Segmentation of Historical Document Images
- Apr 5 Convolutional Neural Networks for Page Segmentation of Historical Document Images
- Apr 5 Comparison Based Nearest Neighbor Search
- Apr 5 Bayesian Inference of Log Determinants
- Apr 5 Detecting confounding in multivariate linear models via spectral analysis
- Apr 5 On the construction of probabilistic Newton-type algorithms
- Apr 5 On Generalization and Regularization in Deep Learning
- Apr 5 On Generalization and Regularization in Deep Learning
- Apr 5 Revisiting the problem of audio-based hit song prediction using convolutional neural networks
- Apr 5 Linear Additive Markov Processes
- Apr 5 Greedy Sampling of Graph Signals
- Apr 4 Learning Approximately Objective Priors
- Apr 4 Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
- Apr 4 Homotopy Parametric Simplex Method for Sparse Learning
- Apr 4 Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods
- Apr 4 Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network
- Apr 4 Bayesian optimization with virtual derivative sign observations
- Apr 3 A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems
- Apr 3 Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data
- Apr 3 A comparative study of counterfactual estimators
- Apr 3 Geometric Insights into Support Vector Machine Behavior using the KKT Conditions
- Apr 3 Multi-Advisor Reinforcement Learning
- Apr 3 No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
- Apr 3 On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics
- Apr 3 Semi-Supervised Generation with Cluster-aware Generative Models
- Apr 3 Dictionary-based Tensor Canonical Polyadic Decomposition
- Apr 3 Efficient acquisition rules for model-based approximate Bayesian computation
- Apr 3 Multi-Task Learning of Keyphrase Boundary Classification
- Apr 2 Identifying networks with common organizational principles
- Apr 2 Provable Inductive Robust PCA via Iterative Hard Thresholding
- Apr 2 Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
- Apr 1 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
- Apr 1 Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies
- Apr 1 Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes
- Apr 1 Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes
- Mar 31 Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature
- Mar 31 Improved Training of Wasserstein GANs
- Mar 31 On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
- Mar 31 Catalyst Acceleration for Gradient-Based Non-Convex Optimization
- Mar 31 Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction
- Mar 31 Prediction of infectious disease epidemics via weighted density ensembles
- Mar 31 The Risk of Machine Learning
- Mar 31 Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network
- Mar 31 Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks
- Mar 31 A New Measure of Conditional Dependence for Causal Structural Learning
- Mar 31 Universal Scalable Robust Solvers from Computational Information Games and fast eigenspace adapted Multiresolution Analysis
- Mar 31 Spectral Methods for Nonparametric Models
- Mar 31 Fundamental Conditions for Low-CP-Rank Tensor Completion
- Mar 31 Factorization tricks for LSTM networks
- Mar 31 BEGAN: Boundary Equilibrium Generative Adversarial Networks
- Mar 30 Near Perfect Protein Multi-Label Classification with Deep Neural Networks
- Mar 30 What-If Reasoning with Counterfactual Gaussian Processes
- Mar 30 Diving into the shallows: a computational perspective on large-scale shallow learning
- Mar 30 Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
- Mar 30 FairJudge: Trustworthy User Prediction in Rating Platforms
- Mar 30 The Informativeness of k-Means for Learning Gaussian Mixture Models
- Mar 30 On Bayesian Exponentially Embedded Family for Model Order Selection
- Mar 30 On Fundamental Limits of Robust Learning
- Mar 30 Minimum energy path calculations with Gaussian process regression
- Mar 30 Audio-Visual Speech Enhancement based on Multimodal Deep Convolutional Neural Network
- Mar 30 From Deep to Shallow: Transformations of Deep Rectifier Networks
- Mar 30 Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates
- Mar 29 Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
- Mar 29 Community detection and stochastic block models: recent developments
- Mar 29 Probabilistic Line Searches for Stochastic Optimization
- Mar 29 Optimal Policies for Observing Time Series and Related Restless Bandit Problems
- Mar 29 Improving Spectral Clustering using the Asymptotic Value of the Normalised Cut
- Mar 29 Marginal likelihood based model comparison in Fuzzy Bayesian Learning
- Mar 29 Efficient Private ERM for Smooth Objectives
- Mar 29 Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions
- Mar 28 Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions
- Mar 28 Deep scattering transform applied to note onset detection and instrument recognition
- Mar 28 Particle Filtering for PLCA model with Application to Music Transcription
- Mar 28 Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs
- Mar 28 Inverse Reinforcement Learning from Summary Data
- Mar 28 Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization
- Mar 28 Algebraic Variety Models for High-Rank Matrix Completion
- Mar 28 Early Stopping without a Validation Set
- Mar 28 A Nonparametric Bayesian Clustering to Discover Latent Covariance Structure of Multiple Time Series
- Mar 28 Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry
- Mar 28 Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry
- Mar 28 Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation
- Mar 27 Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization
- Mar 27 Adversarial Source Identification Game with Corrupted Training
- Mar 27 Fairness in Criminal Justice Risk Assessments: The State of the Art
- Mar 27 Biologically inspired protection of deep networks from adversarial attacks
- Mar 27 Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
- Mar 27 Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
- Mar 27 PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
- Mar 27 Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
- Mar 27 Multilabel Classification with R Package mlr
- Mar 27 Thompson Sampling for Linear-Quadratic Control Problems
- Mar 24 Rejection-free Ensemble MCMC with applications to Factorial Hidden Markov Models
- Mar 24 Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
- Mar 24 Smart Augmentation - Learning an Optimal Data Augmentation Strategy
- Mar 23 Training Mixture Models at Scale via Coresets
- Mar 23 Unifying Framework for Crowd-sourcing via Graphon Estimation
- Mar 23 Robustness of Maximum Correntropy Estimation Against Large Outliers
- Mar 23 Dynamic Bernoulli Embeddings for Language Evolution
- Mar 23 Distribution of Gaussian Process Arc Lengths
- Mar 22 Multitask Learning and Benchmarking with Clinical Time Series Data
- Mar 22 S-Concave Distributions: Towards Broader Distributions for Noise-Tolerant and Sample-Efficient Learning Algorithms
- Mar 22 Direct Acoustics-to-Word Models for English Conversational Speech Recognition
- Mar 22 UBEV - A More Practical Algorithm for Episodic RL with Near-Optimal PAC and Regret Guarantees
- Mar 22 Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor
- Mar 22 Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm
- Mar 22 Deep Exploration via Randomized Value Functions
- Mar 22 A probabilistic approach to emission-line galaxy classification
- Mar 22 Testing and Learning on Distributions with Symmetric Noise Invariance
- Mar 22 LogitBoost autoregressive networks
- Mar 21 On The Projection Operator to A Three-view Cardinality Constrained Set
- Mar 21 Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration
- Mar 21 From safe screening rules to working sets for faster Lasso-type solvers
- Mar 21 ZM-Net: Real-time Zero-shot Image Manipulation Network
- Mar 21 Overcoming model simplifications when quantifying predictive uncertainty
- Mar 21 A Deterministic Global Optimization Method for Variational Inference
- Mar 21 Knowledge distillation using unlabeled mismatched images
- Mar 21 Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations
- Mar 21 High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
- Mar 21 Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
- Mar 21 Cross-modal Deep Metric Learning with Multi-task Regularization
- Mar 20 Deep Neural Networks Do Not Recognize Negative Images
- Mar 20 Counterfactual Fairness
- Mar 20 Variance Reduced Stochastic Gradient Descent with Sufficient Decrease
- Mar 20 On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
- Mar 20 Efficient variational Bayesian neural network ensembles for outlier detection
- Mar 20 Independence clustering (without a matrix)
- Mar 20 QMDP-Net: Deep Learning for Planning under Partial Observability
- Mar 20 Copula Index for Detecting Dependence and Monotonicity between Stochastic Signals
- Mar 19 A Controlled Set-Up Experiment to Establish Personalized Baselines for Real-Life Emotion Recognition
- Mar 19 Universal Consistency and Robustness of Localized Support Vector Machines
- Mar 17 Inference via low-dimensional couplings
- Mar 17 Nonconvex One-bit Single-label Multi-label Learning
- Mar 17 Modeling Relational Data with Graph Convolutional Networks
- Mar 17 Block CUR : Decomposing Large Distributed Matrices
- Mar 17 Pattern representation and recognition with accelerated analog neuromorphic systems
- Mar 16 Causal Inference through the Method of Direct Estimation
- Mar 16 Adaptivity to Noise Parameters in Nonparametric Active Learning
- Mar 16 Conditional Accelerated Lazy Stochastic Gradient Descent
- Mar 16 Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images
- Mar 16 End-to-End Learning for Structured Prediction Energy Networks
- Mar 16 Shift Aggregate Extract Networks
- Mar 16 Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
- Mar 16 Minimax Regret Bounds for Reinforcement Learning
- Mar 15 Cost-complexity pruning of random forests
- Mar 15 Aggregation of Classifiers: A Justifiable Information Granularity Approach
- Mar 15 Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
- Mar 15 Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
- Mar 15 Prototypical Networks for Few-shot Learning
- Mar 15 A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models
- Mar 15 Selective Harvesting over Networks
- Mar 15 Tuning Free Orthogonal Matching Pursuit
- Mar 15 Online Learning for Distribution-Free Prediction
- Mar 15 Label Stability in Multiple Instance Learning
- Mar 15 Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
- Mar 15 Classification of COPD with Multiple Instance Learning
- Mar 15 Matched bipartite block model with covariates
- Mar 15 Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
- Mar 15 Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
- Mar 15 Optimization for L1-Norm Error Fitting via Data Aggregation
- Mar 14 A Random Finite Set Model for Data Clustering
- Mar 14 Classification in biological networks with hypergraphlet kernels
- Mar 14 Learned Optimizers that Scale and Generalize
- Mar 14 Online Learning Rate Adaptation with Hypergradient Descent
- Mar 14 A statistical model for aggregating judgments by incorporating peer predictions
- Mar 14 Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
- Mar 8 Byzantine-Tolerant Machine Learning
- Mar 7 An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
- Mar 4 A Statistical Machine Learning Approach to Yield Curve Forecasting
- Mar 4 A Machine-Learning Framework for Design for Manufacturability