Frederic Koehler
26 papers · 2016–2026 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 27% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Frederic Koehler?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ankur Moitra, Jonathan Kelner, Raghu Meka
7 papers
· 2016–2024
· NeurIPS, COLT, ICML
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Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
COLT 2024
Feature Adaptation for Sparse Linear Regression
NeurIPS 2023
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
NeurIPS 2022
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
NeurIPS 2020
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
NeurIPS 2020
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
NeurIPS 2017
Provable Algorithms for Inference in Topic Models
ICML 2016
5 papers whose co-authors appear nowhere else under this name
Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential
COLT 2026
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
ICML 2024
Multidimensional Scaling: Approximation and Complexity
ICML 2021
From Boltzmann Machines to Neural Networks and Back Again
NeurIPS 2020
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
NeurIPS 2019