conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4,950 papers

Papers per year

Papers

Diacritic Recognition Performance in Arabic ASR INTERSPEECH 2023
Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space INTERSPEECH 2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning INTERSPEECH 2023
From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion INTERSPEECH 2023
An extension of disentanglement metrics and its application to voice INTERSPEECH 2023
Range-Based Equal Error Rate for Spoof Localization INTERSPEECH 2023
Average Token Delay: A Latency Metric for Simultaneous Translation INTERSPEECH 2023
An Analysis of Goodness of Pronunciation for Child Speech INTERSPEECH 2023
Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities INTERSPEECH 2023
Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously INTERSPEECH 2023
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search JMLR 2023
On Distance and Kernel Measures of Conditional Dependence JMLR 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023
Ridges, Neural Networks, and the Radon Transform JMLR 2023
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems JMLR 2023
Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results JMLR 2023
When Locally Linear Embedding Hits Boundary JMLR 2023
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics JMLR 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Dimensionless machine learning: Imposing exact units equivariance JMLR 2023
The Implicit Bias of Benign Overfitting JMLR 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023