LyrebirdTM: Developing Spoken Dialog Systems Using Examples. - Bradford Starkie; Greg Findlow; Khanh Ho; Alvaro Hui; Lawrence Law; Liron Lightwood; Simon Michnowicz; Christian J. Walder (ICGI, 2002)

Algebraic Curve Fitting Support Vector Machines. - Christian J. Walder; Brian C. Lovell; Peter J. Kootsookos (DICTA, 2003)

Homogenized Virtual Support Vector Machines. - Christian J. Walder; Brian C. Lovell (DICTA, 2005)

Efficient and Invariant Regularisation with Application to Computer Graphics - Christian J. Walder (2008)

Computer Assisted Composition with Recurrent Neural Networks. - Christian J. Walder; Dongwoo Kim 002 (ACML, 2017)

Fast Bayesian Intensity Estimation for the Permanental Process. - Christian J. Walder; Adrian N. Bishop (ICML, 2017)

Self-Bounded Prediction Suffix Tree via Approximate String Matching. - Dongwoo Kim 002; Christian J. Walder (ICML, 2018)

Neural Dynamic Programming for Musical Self Similarity. - Christian J. Walder; Dongwoo Kim 002 (ICML, 2018)

Neural Causality Detection for Multi-dimensional Point Processes. - Tianyu Wang; Christian J. Walder; Tom Gedeon (ICONIP (4), 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)

Monge blunts Bayes: Hardness Results for Adversarial Training. - Zac Cranko; Aditya Krishna Menon; Richard Nock; Cheng Soon Ong; Zhan Shi; Christian J. Walder (ICML, 2019)

Efficient Non-parametric Bayesian Hawkes Processes. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu; Lexing Xie (IJCAI, 2019)

New Tricks for Estimating Gradients of Expectations. - Christian J. Walder; Richard Nock; Cheng Soon Ong; Masashi Sugiyama (CoRR, 2019)

Sparse Gaussian Process Modulated Hawkes Process. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu (CoRR, 2019)

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. - Rui Zhang; Christian J. Walder; Marian-Andrei Rizoiu (AAAI, 2020)

All your loss are belong to Bayes. - Christian J. Walder; Richard Nock (NeurIPS, 2020)

Quantile Propagation for Wasserstein-Approximate Gaussian Processes. - Rui Zhang; Christian J. Walder; Edwin V. Bonilla; Marian-Andrei Rizoiu; Lexing Xie (NeurIPS, 2020)

Determinantal Point Process Likelihoods for Sequential Recommendation. - Yuli Liu; Christian J. Walder; Lexing Xie (SIGIR, 2022)

LegendreTron: Uprising Proper Multiclass Loss Learning. - Kevin H. Lam; Christian J. Walder; Spiridon I. Penev; Richard Nock (ICML, 2023)