Papers
16,557 papers found
Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Zhiyong Yang, Qianqian Xu, Xiaochun Cao et al.
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
Marianne Defresne, Jayanta Mandi, Tias Guns
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
Kaden Uhlig, Joern Wuebker, Raphael Reinauer et al.
Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization
Nawal Benabbou, Cassandre Leroy, Thibaut Lust et al.
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber, Silvia Chiappa
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn, Eric P. Xing
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis et al.
Non-rigid point set registration: Coherent Point Drift
Andriy Myronenko, Xubo Song, Miguel Á. Carreira-Perpiñán
Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin, Noam Slonim, Naftali Tishby
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data
Johanna M. Zumer, Hagai T. Attias, Kensuke Sekihara et al.
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee W. Teh, David Newman, Max Welling
Optimal Change-Detection and Spiking Neurons
Angela J. Yu
Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu et al.
A recipe for optimizing a time-histogram
Hideaki Shimazaki, Shigeru Shinomoto
Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter, Douglas Aberdeen, Jin Yu
Real-time adaptive information-theoretic optimization of neurophysiology experiments
Jeremy Lewi, Robert Butera, Liam Paninski
Using Combinatorial Optimization within Max-Product Belief Propagation
Daniel Tarlow, Gal Elidan, Daphne Koller et al.
Causal inference in sensorimotor integration
Konrad P. Körding, Joshua B. Tenenbaum
Approximate inference using planar graph decomposition
Amir Globerson, Tommi S. Jaakkola
Optimal Single-Class Classification Strategies
Ran El-Yaniv, Mordechai Nisenson