| 2023 | ICML | LegendreTron: Uprising Proper Multiclass Loss Learning. | Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock |
| 2022 | SIGIR | Determinantal Point Process Likelihoods for Sequential Recommendation. | Yuli Liu, Christian J. Walder, Lexing Xie |
| 2020 | AAAI | Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. | Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu |
| 2019 | ICML | Monge blunts Bayes: Hardness Results for Adversarial Training. | Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder |
| 2019 | IJCAI | Efficient Non-parametric Bayesian Hawkes Processes. | Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie |
| 2018 | ICML | Self-Bounded Prediction Suffix Tree via Approximate String Matching. | Dongwoo Kim, Christian J. Walder |
| 2018 | ICML | Neural Dynamic Programming for Musical Self Similarity. | Christian J. Walder, Dongwoo Kim |
| 2018 | ICONIP | Neural Causality Detection for Multi-dimensional Point Processes. | Tianyu Wang, Christian J. Walder, Tom Gedeon |
| 2017 | ACML | Computer Assisted Composition with Recurrent Neural Networks. | Christian J. Walder, Dongwoo Kim |
| 2017 | ICML | Fast Bayesian Intensity Estimation for the Permanental Process. | Christian J. Walder, Adrian N. Bishop |
| 2005 | DICTA | Homogenized Virtual Support Vector Machines. | Christian J. Walder, Brian C. Lovell |
| 2003 | DICTA | Algebraic Curve Fitting Support Vector Machines. | Christian J. Walder, Brian C. Lovell, Peter J. Kootsookos |