Lista de obras -

A General Projection Property for Distribution Families ⬇️

A Geometric Perspective on Optimal Representations for Reinforcement Learning ⬇️

artículo científico publicado en 2019

A Polynomial-time Form of Robust Regression ⬇️

artículo científico publicado en 2012

Accelerated Training for Matrix-norm Regularization: A Boosting Approach ⬇️

artículo científico publicado en 2012

Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians

artículo científico publicado en 2016

Automatic basis selection techniques for RBF networks

artículo científico publicado en 2003

Bridging the Gap Between Value and Policy Based Reinforcement Learning ⬇️

artículo científico publicado en 2017

Chain of Thought Prompting Elicits Reasoning in Large Language Models ⬇️

artículo científico publicado en 2022

Convex Deep Learning via Normalized Kernels ⬇️

artículo científico publicado en 2014

Convex Multi-view Subspace Learning ⬇️

artículo científico publicado en 2012

Convex Relaxation of Mixture Regression with Efficient Algorithms ⬇️

artículo científico publicado en 2009

Convex Relaxations of Latent Variable Training ⬇️

artículo científico publicado en 2008

Convex Two-Layer Modeling ⬇️

Deep Learning Games ⬇️

artículo científico publicado en 2016

Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension--Daubechies Wavelets Approach

artículo científico publicado en 2015

Direct value-approximation for factored MDPs ⬇️

Discriminative Batch Mode Active Learning ⬇️

artículo científico publicado en 2008

Embedding Inference for Structured Multilabel Prediction ⬇️

Exponential Family Estimation via Adversarial Dynamics Embedding ⬇️

Frequency analysis of photoplethysmogram and its derivatives

artículo científico publicado en 2015

Graphical models and point pattern matching

artículo científico publicado en 2006

Greedy Importance Sampling ⬇️

Invertible Convolutional Flow ⬇️

Learning mixture models with the regularized latent maximum entropy principle

artículo científico publicado en 2004

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields ⬇️

artículo científico publicado en 2007

Maximum Entropy Monte-Carlo Planning ⬇️

Maximum Margin Clustering ⬇️

Multi-view Matrix Factorization for Linear Dynamical System Estimation ⬇️

artículo científico publicado en 2017

Non-delusional Q-learning and value-iteration ⬇️

On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress

artículo científico publicado en 2015

Polar Operators for Structured Sparse Estimation ⬇️

Protein fold recognition using the gradient boost algorithm.

artículo científico publicado en 2006

Protein-chemical interaction prediction via kernelized sparse learning SVM

artículo científico publicado el 1 de enero de 2013

Regularized Greedy Importance Sampling ⬇️

artículo científico publicado en 2003

Relaxed Clipping: A Global Training Method for Robust Regression and Classification ⬇️

Reward Augmented Maximum Likelihood for Neural Structured Prediction ⬇️

artículo científico publicado en 2016

Stable Dual Dynamic Programming ⬇️

artículo científico publicado en 2008

Surrogate Objectives for Batch Policy Optimization in One-step Decision Making ⬇️

article by Minmin Chen et al published 2019 in Advances in Neural Information Processing Systems 32

Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions

artículo científico publicado en 2013

The Voice of the Heart: Vowel-Like Sound in Pulmonary Artery Hypertension

artículo científico publicado en 2018

The unique heart sound signature of children with pulmonary artery hypertension

artículo científico publicado en 2015

Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital stethoscope

artículo científico publicado en 2014

Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals

artículo científico publicado en 2015

implicit Online Learning with Kernels ⬇️

artículo científico publicado en 2007

Lista de obras de

A General Projection Property for Distribution Families ⬇️

A Geometric Perspective on Optimal Representations for Reinforcement Learning ⬇️

A Polynomial-time Form of Robust Regression ⬇️

Accelerated Training for Matrix-norm Regularization: A Boosting Approach ⬇️

Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians

Automatic basis selection techniques for RBF networks

Bridging the Gap Between Value and Policy Based Reinforcement Learning ⬇️

Chain of Thought Prompting Elicits Reasoning in Large Language Models ⬇️

Convex Deep Learning via Normalized Kernels ⬇️

Convex Multi-view Subspace Learning ⬇️

Convex Relaxation of Mixture Regression with Efficient Algorithms ⬇️

Convex Relaxations of Latent Variable Training ⬇️

Convex Two-Layer Modeling ⬇️

Deep Learning Games ⬇️

Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension--Daubechies Wavelets Approach

Direct value-approximation for factored MDPs ⬇️

Discriminative Batch Mode Active Learning ⬇️

Embedding Inference for Structured Multilabel Prediction ⬇️

Exponential Family Estimation via Adversarial Dynamics Embedding ⬇️

Frequency analysis of photoplethysmogram and its derivatives

Graphical models and point pattern matching

Greedy Importance Sampling ⬇️

Invertible Convolutional Flow ⬇️

Learning mixture models with the regularized latent maximum entropy principle

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields ⬇️

Maximum Entropy Monte-Carlo Planning ⬇️

Maximum Margin Clustering ⬇️

Multi-view Matrix Factorization for Linear Dynamical System Estimation ⬇️

Non-delusional Q-learning and value-iteration ⬇️

On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress

Polar Operators for Structured Sparse Estimation ⬇️

Protein fold recognition using the gradient boost algorithm.

Protein-chemical interaction prediction via kernelized sparse learning SVM

Regularized Greedy Importance Sampling ⬇️

Relaxed Clipping: A Global Training Method for Robust Regression and Classification ⬇️

Reward Augmented Maximum Likelihood for Neural Structured Prediction ⬇️

Stable Dual Dynamic Programming ⬇️

Surrogate Objectives for Batch Policy Optimization in One-step Decision Making ⬇️

Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions

The Voice of the Heart: Vowel-Like Sound in Pulmonary Artery Hypertension

The unique heart sound signature of children with pulmonary artery hypertension

Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital stethoscope

Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals

implicit Online Learning with Kernels ⬇️