Publications

Daniel D. Johnson, Daniel Tarlow, Christian Walder (2023). R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML.

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

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Qiongkai Xu, Christian Walder, Chenchen Xu (2023). Humanly Certifying Superhuman Classifiers. ICLR.

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Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu (2023). Sampled Transformer for Point Sets. Preprint.

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

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Shidi Li, Miaomiao Liu, Christian Walder (2021). EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation. AAAI 2022.

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Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli (2021). TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. NeurIPS.

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

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

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

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Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T Dean, Alexander Hunter, Charles Gretton, Christian Walder (2019). Computer Assisted Composition in Continuous Time. Preprint.

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Zac Cranko, Aditya Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian Walder (2019). Monge blunts Bayes: Hardness results for adversarial training. ICML.

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Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie (2019). Efficient non-parametric Bayesian Hawkes processes. IJCAI.

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Florin Schimbinschi, Christian Walder, Sarah Erfani, James Bailey (2019). SynthNet: Learning to Synthesize Music End-to-End.. IJCAI.

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Christian Walder, Paul Roussel, Richard Nock, Cheng Soon Ong, Masashi Sugiyama (2019). New Tricks for Estimating Gradients of Expectations. Preprint.

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

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

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Christian Walder, Adrian Bishop (2018). Fast Bayesian Intensity Estimation for the Permanental Process. ICML.

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

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Sephora Madjiheurem, Lizhen Qu, Christian Walder (2016). Chord2vec: Learning Musical Chord Embeddings. Constructive machine learning workshop at NIPS2016.

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Christian Walder (2016). Modelling Symbolic Music: Beyond the Piano Roll. ACML.

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Christian Walder (2010). Rank k Cholesky Up / Down-dating on the GPU. Preprint.

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Christian Walder, Kwang In Kim, Bernhard Schölkopf (2009). Sparse Multiscale Gaussian Process Regression. ICML.

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Christian Walder, Bernhard Schölkopf (2009). Diffeomorphic Dimensionality Reduction. Preprint.

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Christian Walder, Martin Breidt, Heinrich Bülthoff, Bernhard Schölkopf, Cristóbal Curio (2009). Markerless 3d Face Tracking. Preprint.

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Christian Walder, Olivier Chapelle (2007). Learning with Transformation Invariant Kernels. NIPS.

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Christian Walder, Bernhard Schölkopf, Olivier Chapelle (2006). Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Eurographics.

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Christian Walder, Olivier Chapelle, Bernhard Schölkopf (2006). Implicit Surface Modelling as an Eigenvalue Problem. ICML.

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