Christian J. Walder

According to our database, Christian J. Walder authored at least 19 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LegendreTron: Uprising Proper Multiclass Loss Learning.

Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock

Proceedings of the International Conference on Machine Learning, 2023

2022

Determinantal Point Process Likelihoods for Sequential Recommendation.

Yuli Liu, Christian J. Walder, Lexing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2020

Quantile Propagation for Wasserstein-Approximate Gaussian Processes.

Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

All your loss are belong to Bayes.

Christian J. Walder, Richard Nock

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process.

Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sparse Gaussian Process Modulated Hawkes Process.

Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu

CoRR, 2019

New Tricks for Estimating Gradients of Expectations.

Christian J. Walder, Richard Nock, Cheng Soon Ong, Masashi Sugiyama

CoRR, 2019

Efficient Non-parametric Bayesian Hawkes Processes.

Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Monge blunts Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Monge beats Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

CoRR, 2018

Neural Causality Detection for Multi-dimensional Point Processes.

Tianyu Wang, Christian J. Walder, Tom Gedeon

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Dynamic Programming for Musical Self Similarity.

Christian J. Walder, Dongwoo Kim

Proceedings of the 35th International Conference on Machine Learning, 2018

Self-Bounded Prediction Suffix Tree via Approximate String Matching.

Dongwoo Kim, Christian J. Walder

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Fast Bayesian Intensity Estimation for the Permanental Process.

Christian J. Walder, Adrian N. Bishop

Proceedings of the 34th International Conference on Machine Learning, 2017

Computer Assisted Composition with Recurrent Neural Networks.

Christian J. Walder, Dongwoo Kim

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2008

Efficient and Invariant Regularisation with Application to Computer Graphics

Christian J. Walder

PhD thesis, 2008

2005

Homogenized Virtual Support Vector Machines.

Christian J. Walder, Brian C. Lovell

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

2003

Algebraic Curve Fitting Support Vector Machines.

Christian J. Walder, Brian C. Lovell, Peter J. Kootsookos

Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

2002

Lyrebird^TM: Developing Spoken Dialog Systems Using Examples.

Bradford Starkie, Greg Findlow, Khanh Ho, Alvaro Hui, Lawrence Law, Liron Lightwood, Simon Michnowicz, Christian J. Walder

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002