Simplified Graph Convolution with Heterophily

von Chanpuriya, Sudhanshu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

FOURIER SPARSE LEVERAGE SCORES AND APPROXIMATE KERNEL LEARNING

von Erdelyi, Tamas
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

TOWARD A CHARACTERIZATION OF LOSS FUNCTIONS FOR DISTRIBUTION LEARNING

von Haghtalab, Nika
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Coresets for Classification - Simplified and Strengthened

von Mai, Tung
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

Kernel Interpolation with Sparse Grids

von Yadav, Mohit
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings

von Zhang, Dongxu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

FASTER KERNEL MATRIX ALGEBRA VIA DENSITY ESTIMATION

von BACKURS, ARTURS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

On the Power of Edge Independent Graph Models

von Chanpuriya, Sudhanshu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

Node Embeddings and Exact Low-Rank Representations of Complex Networks

von Chanpuriya, Sudhanshu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

DEEPWALKING BACKWARDS: FROM NODE EMBEDDINGS BACK TO GRAPHS

von CHANPURIYA, SUDHANSHU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

EFFICIENT INTERVENTION DESIGN FOR CAUSAL DISCOVERY WITH LATENTS

von Addanki, Raghavendra
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)

Sample Constrained Treatment Effect Estimation

von Addanki, Raghavendra
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 8 of 50 (2023)

Hutch++: Optimal Stochastic Trace Estimation

von Meyer, Raphael A.
Veröffentlicht in SIAM Symposium on Simplicity in Algorithms (4. : 2021 : Online) Fourth Symposium on Simplicity in Algorithms (SOSA 2021) (2021)

Toeplitz Low-Rank Approximation with Sublinear Query Complexity

von Kapralov, Michael
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 6 of 7 (2023)

Near-Linear Sample Complexity for Lp Polynomial Regression

von Meyer, Raphael A.
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 6 of 7 (2023)