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)

Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Optimal Sparse Survival Trees AISTATS 2024
TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation AISTATS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
The Risks of Recourse in Binary Classification AISTATS 2024
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias AISTATS 2024
Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024
A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024
The Solution Path of SLOPE AISTATS 2024
A Unified Framework for Discovering Discrete Symmetries AISTATS 2024
Recovery Guarantees for Distributed-OMP AISTATS 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024