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

Statistical Learning

4,076 papers

Papers per year

Papers

Speaker-Conversation Factorial Designs for Diarization Error Analysis INTERSPEECH 2021
Glottal Stops in Upper Sorbian: A Data-Driven Approach INTERSPEECH 2021
SUPERB: Speech Processing Universal PERformance Benchmark INTERSPEECH 2021
A Comparison of Acoustic Correlates of Voice Quality Across Different Recording Devices: A Cautionary Tale INTERSPEECH 2021
Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature Extraction INTERSPEECH 2021
Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale INTERSPEECH 2021
Revisiting Parity of Human vs. Machine Conversational Speech Transcription INTERSPEECH 2021
Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational Degradations INTERSPEECH 2021
Confidence Intervals for ASR-Based TTS Evaluation INTERSPEECH 2021
Rich Prosody Diversity Modelling with Phone-Level Mixture Density Network INTERSPEECH 2021
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments INTERSPEECH 2021
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021
Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors JMLR 2021
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021
Aggregated Hold-Out JMLR 2021
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions JMLR 2021
Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021
Asynchronous Online Testing of Multiple Hypotheses JMLR 2021
RaSE: Random Subspace Ensemble Classification JMLR 2021
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021
Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021
Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021
Is SGD a Bayesian sampler? Well, almost JMLR 2021