Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications

17 March 2018

Papers citing "Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications"

22 / 22 papers shown

Title
Superconstant Inapproximability of Decision Tree Learning Caleb M. Koch Carmen Strassle Li-Yang Tan 29 1 0 01 Jul 2024
Causal Discovery under Latent Class Confounding Bijan Mazaheri Spencer Gordon Y. Rabani Leonard J. Schulman CML 36 2 0 13 Nov 2023
Identification of Mixtures of Discrete Product Distributions in Near-Optimal Sample and Time Complexity Spencer Gordon Erik Jahn Bijan Mazaheri Y. Rabani Leonard J. Schulman CoGe 17 3 0 25 Sep 2023
Lifting uniform learners via distributional decomposition Guy Blanc Jane Lange Ali Malik Li-Yang Tan FedML 11 4 0 27 Mar 2023
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition Yifan Zhang Joe Kileel 24 3 0 25 Oct 2022
Superpolynomial Lower Bounds for Decision Tree Learning and Testing Caleb M. Koch Carmen Strassle Li-Yang Tan 34 8 0 12 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable Jeongyeol Kwon Yonathan Efroni C. Caramanis Shie Mannor 31 5 0 05 Oct 2022
Popular decision tree algorithms are provably noise tolerant Guy Blanc Jane Lange Ali Malik Li-Yang Tan NoLa 17 3 0 17 Jun 2022
Causal Inference Despite Limited Global Confounding via Mixture Models Spencer Gordon Bijan Mazaheri Y. Rabani Leonard J. Schulman CML 36 7 0 22 Dec 2021
Properly learning decision trees in almost polynomial time Guy Blanc Jane Lange Mingda Qiao Li-Yang Tan 13 20 0 01 Sep 2021
Decision tree heuristics can fail, even in the smoothed setting Guy Blanc Jane Lange Mingda Qiao Li-Yang Tan 17 7 0 02 Jul 2021
Learning stochastic decision trees Guy Blanc Jane Lange Li-Yang Tan 14 3 0 08 May 2021
Hadamard Extensions and the Identification of Mixtures of Product Distributions Spencer Gordon Leonard J. Schulman 14 10 0 27 Jan 2021
Source Identification for Mixtures of Product Distributions Spencer Gordon Bijan Mazaheri Y. Rabani Leonard J. Schulman 8 21 0 29 Dec 2020
Reconstructing decision trees Guy Blanc Jane Lange Li-Yang Tan 20 1 0 16 Dec 2020
Universal guarantees for decision tree induction via a higher-order splitting criterion Guy Blanc Neha Gupta Jane Lange Li-Yang Tan 14 10 0 16 Oct 2020
The Sparse Hausdorff Moment Problem, with Application to Topic Models Spencer Gordon Bijan Mazaheri Leonard J. Schulman Y. Rabani 14 9 0 16 Jul 2020
Top-down induction of decision trees: rigorous guarantees and inherent limitations Guy Blanc Jane Lange Li-Yang Tan 11 25 0 18 Nov 2019
Interaction is necessary for distributed learning with privacy or communication constraints Y. Dagan Vitaly Feldman 17 12 0 11 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 31 16 0 05 Nov 2019
On the Optimality of Trees Generated by ID3 Alon Brutzkus Amit Daniely Eran Malach 17 10 0 11 Jul 2019
ID3 Learns Juntas for Smoothed Product Distributions Alon Brutzkus Amit Daniely Eran Malach 25 20 0 20 Jun 2019