conftrace_

Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024
Mixed Models with Multiple Instance Learning AISTATS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Low-rank MDPs with Continuous Action Spaces AISTATS 2024
Deep Learning-Based Alternative Route Computation AISTATS 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024