引用次数
引用: 6,917
H-指数: 34
I10-指数 : 55
出版物: 113
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
Michalis Titsias Rc Aueb
neural information processing systems 29 4161 -4169
3
2016
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias , Christopher Yau
neural information processing systems 27 2960 -2968
4
2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference
Michalis Titsias , Miguel L zaro-Gredilla
international conference on machine learning 1971 -1979
379
2014
First learn then earn: optimizing mobile crowdsensing campaigns through data-driven user profiling
Merkourios Karaliopoulos , Iordanis Koutsopoulos , Michalis Titsias
mobile ad hoc networking and computing 271 -280
76
2016
SAMHD1 is mutated recurrently in chronic lymphocytic leukemia and is involved in response to DNA damage
Ruth Clifford , Tania Louis , Pauline Robbe , Sam Ackroyd
Blood 123 ( 7) 1021 -1031
234
2014
Towards Response Prediction Using Integrated Genomics in Chronic Lymphocytic Leukaemia: Results on 250 First-Line FCR Treated Patients from UK Clinical Trials
Ruth M Clifford , Pauline Robbe , Susanne Weller , Adele T Timbs
Blood 124 ( 21) 1942 -1942
2014
The Identification of Further Minimal Regions of Overlap in Chronic Lymphocytic Leukemia Using High-Resolution SNP Arrays
Samantha JL Knight , Ruth Clifford , Pauline Robbe , Sara DC Ramos
Blood 124 ( 21) 3315 -3315
2014
Web Page Rank Prediction with PCA and EM Clustering
Polyxeni Zacharouli , Michalis Titsias , Michalis Vazirgiannis
workshop on algorithms and models for the web graph 104 -115
8
2009
Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation
Neil Lawrence , Magnus Rattray , Antti Honkela , Michalis Titsias
Handbook of Statistical Systems Biology. 2011;:376-394. 376 -394
1
2011
Information-theoretic online memory selection for continual learning
Shengyang Sun , Daniele Calandriello , Huiyi Hu , Ang Li
arXiv preprint arXiv:2204.04763
12
2022
Gradient estimation with discrete Stein operators
Jiaxin Shi , Yuhao Zhou , Jessica Hwang , Michalis Titsias
Advances in neural information processing systems 35 25829 -25841
4
2022
Manifold Relevance Determination (Poster ID: 49)
Andreas Damianou , Michalis Titsias , Neil Lawrence
Smpte Journal
Stochastic linear dynamics in parameters to deal with Neural Networks plasticity loss
Alexandre Galashov , Michalis Titsias , Razvan Pascanu , Yee Whye Teh
NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation Models
2023
Kalman Filter Online Learning from non-Stationary Data
Michalis Titsias , Alexandre Galashov , Amal Rannen-Triki , Razvan Pascanu
The Twelfth International Conference on Learning Representations
2023
Double control variates for gradient estimation in discrete latent variable models
Michalis Titsias , Jiaxin Shi
International Conference on Artificial Intelligence and Statistics 6134 -6151
8
2022
Entropy-based adaptive hamiltonian monte carlo
Marcel Hirt , Michalis Titsias , Petros Dellaportas
Advances in Neural Information Processing Systems 34 28482 -28495
7
2021
Optimal Preconditioning and Fisher Adaptive Langevin Sampling
Michalis Titsias
Advances in Neural Information Processing Systems 36
2
2024
Please sign, scan, and send (as a pdf fifile) to production@ jmlr. org, along with your fifinal submission.
Andreas Damianou , Michalis Titsias , Neil Lawrence
Variational Bayes Sparse Multiple Output Gaussian Processes
Mauricio Alvarez , Michalis Titsias , Neil Lawrence
Online Continual Learning from Imbalanced Data with Kullback-Leibler-loss based replay buffer updates
Sotirios Nikoloutsopoulos , Iordanis Koutsopoulos , Michalis Titsias
NeurIPS 2022 Workshop on Human in the Loop Learning
2022