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Statistical Learning

4076 directly classified papers

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Papers

Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Multi-Positive and Unlabeled Learning IJCAI 2017
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017
The Impact of Random Models on Clustering Similarity JMLR 2017
Optimal learning via local entropies and sample compression COLT 2017
Latent Feature Lasso ICML 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Learning Mixtures of Plackett-Luce Models ICML 2016
Learnability of Non-I.I.D. ACML 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model INTERSPEECH 2016
Optimizing Speech Recognition Evaluation Using Stratified Sampling INTERSPEECH 2016
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features INTERSPEECH 2016
Twin Model G-PLDA for Duration Mismatch Compensation in Text-Independent Speaker Verification INTERSPEECH 2016
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016
Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016
Parameter Estimation for Generalized Thurstone Choice Models ICML 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
On the Statistical Limits of Convex Relaxations ICML 2016
No penalty no tears: Least squares in high-dimensional linear models ICML 2016
The knockoff filter for FDR control in group-sparse and multitask regression ICML 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016
Generalized Direct Change Estimation in Ising Model Structure ICML 2016