Christian J. Walder

28 papers A* 10C 1Misc 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs. CoRR Chenguang Duan, Yuling Jiao, Gabriele Steidl, Christian J. Walder, Jerry Zhijian Yang, Ruizhe Zhang
2023	A*	`conf`	LegendreTron: Uprising Proper Multiclass Loss Learning. ICML Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock
2023	J	`jnl`	LegendreTron: Uprising Proper Multiclass Loss Learning. CoRR Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock
2022	A*	`conf`	Determinantal Point Process Likelihoods for Sequential Recommendation. SIGIR Yuli Liu, Christian J. Walder, Lexing Xie
2022	J	`jnl`	Determinantal Point Process Likelihoods for Sequential Recommendation. CoRR Yuli Liu, Christian J. Walder, Lexing Xie
2020	A*	`conf`	All your loss are belong to Bayes. NeurIPS Christian J. Walder, Richard Nock
2020	J	`jnl`	All your loss are belong to Bayes. CoRR Christian J. Walder, Richard Nock
2020	A*	`conf`	Quantile Propagation for Wasserstein-Approximate Gaussian Processes. NeurIPS Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie
2020	A*	`conf`	Variational Inference for Sparse Gaussian Process Modulated Hawkes Process. AAAI Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
2019	A*	`conf`	Efficient Non-parametric Bayesian Hawkes Processes. IJCAI Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie
2019	A*	`conf`	Monge blunts Bayes: Hardness Results for Adversarial Training. ICML Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder
2019	J	`jnl`	New Tricks for Estimating Gradients of Expectations. CoRR Christian J. Walder, Richard Nock, Cheng Soon Ong, Masashi Sugiyama
2019	J	`jnl`	Quantile Propagation for Wasserstein-Approximate Gaussian Processes. CoRR Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie
2019	J	`jnl`	Sparse Gaussian Process Modulated Hawkes Process. CoRR Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
2018	J	`jnl`	Efficient Non-parametric Bayesian Hawkes Processes. CoRR Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu, Lexing Xie
2018	J	`jnl`	Monge beats Bayes: Hardness Results for Adversarial Training. CoRR Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder
2018	—	`conf`	Neural Causality Detection for Multi-dimensional Point Processes. ICONIP (4) Tianyu Wang, Christian J. Walder, Tom Gedeon
2018	A*	`conf`	Neural Dynamic Programming for Musical Self Similarity. ICML Christian J. Walder, Dongwoo Kim
2018	J	`jnl`	Neural Dynamic Programming for Musical Self Similarity. CoRR Christian J. Walder, Dongwoo Kim
2018	A*	`conf`	Self-Bounded Prediction Suffix Tree via Approximate String Matching. ICML Dongwoo Kim, Christian J. Walder
2018	J	`jnl`	Self-Bounded Prediction Suffix Tree via Approximate String Matching. CoRR Dongwoo Kim, Christian J. Walder
2017	C	`conf`	Computer Assisted Composition with Recurrent Neural Networks. ACML Christian J. Walder, Dongwoo Kim
2017	A*	`conf`	Fast Bayesian Intensity Estimation for the Permanental Process. ICML Christian J. Walder, Adrian N. Bishop
2016	J	`jnl`	Computer Assisted Composition with Recurrent Neural Networks. CoRR Christian J. Walder, Dongwoo Kim
2008	—	`—`	Efficient and Invariant Regularisation with Application to Computer Graphics Christian J. Walder
2005	Misc	`conf`	Homogenized Virtual Support Vector Machines. DICTA Christian J. Walder, Brian C. Lovell
2003	Misc	`conf`	Algebraic Curve Fitting Support Vector Machines. DICTA Christian J. Walder, Brian C. Lovell, Peter J. Kootsookos
2002	—	`conf`	Lyrebird ICGI Bradford Starkie, Greg Findlow, Khanh Ho, Alvaro Hui, Lawrence Law, Liron Lightwood, Simon Michnowicz, Christian J. Walder