Gauss quadrature for matrix inverse forms with applications by Li, Chengtao, Sra, Suvrit, Jegelka, Stefanie Sabrina

“…Proceedings of Machine Learning Research…”
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Fast DPP Sampling for Nyström with Application to Kernel Methods by Li, Chengtao, Jegelka, Stefanie Sabrina, Sra, Suvrit

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Approximate inference in additive factorial HMMs with application to energy disaggregation by Kolter, Jeremy Z., Jaakkola, Tommi S.

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Simple, efficient, and neural algorithms for sparse coding by Arora, Sanjeev, Ge, Rong, Ma, Tengyu, Moitra, Ankur

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Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment by Barabas, Chelsea, Dinakar, Karthik, Ito, Joichi, Virza, Madars, Zittrain, Jonathan L.

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Accelerating greedy coordinate descent methods by Lu, Haihao, Freund, Robert Michael, Mirrokni Banadaki, Vahab Seyed

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Neural inverse knitting: From images to manufacturing instructions by Kaspar, Alexandre, Oh, Taehyun, Makatura, Liane, Kellnhofer, Petr, Matusik, Wojciech

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Characterizing and learning equivalence classes of causal DAGs under interventions by Yang, Karren Dai, Katcoff, Abigail, Uhler, Caroline

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Sampling-based Nystrom approximation and kernel quadrature by Hayakawa, S, Oberhauser, H, Lyons, T

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ScoEHR: generating synthetic electronic health records using continuous-time diffusion models by Naseer, AA, Walker, B, Landon, C, Ambrosy, A, Fudim, M, Wysham, N, Toro, B, Swaminathan, S, Lyons, T

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Tighter variational bounds are not necessarily better by Rainforth, T, Kosiorek, A, Le, T, Maddison, C, Igl, M, Wood, F, Teh, Y

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Graph classification Gaussian processes via spectral features by Opolka, FL, Zhi, Y-C, Liò, P, Dong, X

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Statistical optimal transport via factored couplings by Forrow, A, Hütter, J, Nitzan, M, Rigollet, P, Schiebinger, G, Weed, J

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Log neural controlled differential equations: the lie brackets make a difference by Walker, B, McLeod, AD, Qin, T, Cheng, Y, Li, H, Lyons, T

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Dense for the price of sparse: improved performance of sparsely initialized networks via a subspace offset by Price, I, Tanner, J

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Structure-aware robustness certificates for graph classification by Osselin, P, Kenlay, H, Dong, X

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A baseline for any order gradient estimation in stochastic computation graphs by Mao, J, Foerster, J, Rocktaschel, T, Al-Shedivat, M, Farquhar, G, Whiteson, S

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Distribution of Gaussian process arc lengths by Bewsher, J, Tosi, A, Osborne, M, Roberts, S

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Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets by Beetz, M, Banerjee, A, Grau, V

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Particle Gibbs for Bayesian additive regression trees by Lakshminarayanan, B, Roy, DM, Teh, YW

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