conftrace_
← Core Methods
Machine Learning › Core Methods ›

Regression

5,004 papers

Papers per year

1
7
72
146
513
265
'00
'05
'10
'15
'20
'25

Papers

Supervised Learning for Dynamical System Learning NIPS 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
Efficient Output Kernel Learning for Multiple Tasks NIPS 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NIPS 2015
Learning with a Wasserstein Loss NIPS 2015
Alternating Minimization for Regression Problems with Vector-valued Outputs NIPS 2015
Subset Selection by Pareto Optimization NIPS 2015
Deep Knowledge Tracing NIPS 2015
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NIPS 2015
Adversarial Prediction Games for Multivariate Losses NIPS 2015
On Elicitation Complexity NIPS 2015
Matrix Completion Under Monotonic Single Index Models NIPS 2015
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NIPS 2015
Fast Randomized Kernel Ridge Regression with Statistical Guarantees NIPS 2015
Gaussian Process Random Fields NIPS 2015
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions NIPS 2015
Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction ACML 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Near-optimal max-affine estimators for convex regression AISTATS 2015
Generalized Linear Models for Aggregated Data AISTATS 2015
Implementable confidence sets in high dimensional regression AISTATS 2015
One-bit Compressed Sensing with the k-Support Norm AISTATS 2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015