Liudmila Prokhorenkova
20 papers · 2018–2025 · 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 10 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Liudmila Prokhorenkova?
3 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 Aleksei Ustimenko, Denis Kuznedelev, Artem Babenko
9 papers
· 2018–2023
· ICLR, NeurIPS, ICML
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A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
ICLR 2023
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
NeurIPS 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023
Gradient Boosting Performs Gaussian Process Inference
ICLR 2023
Which Tricks are Important for Learning to Rank?
ICML 2023
SGLB: Stochastic Gradient Langevin Boosting
ICML 2021
Uncertainty in Gradient Boosting via Ensembles
ICLR 2021
StochasticRank: Global Optimization of Scale-Free Discrete Functions
ICML 2020
CatBoost: unbiased boosting with categorical features
NeurIPS 2018
7 papers whose co-authors appear nowhere else under this name
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
ICLR 2022
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
ICLR 2021
Good Classification Measures and How to Find Them
NeurIPS 2021
Overlapping Spaces for Compact Graph Representations
NeurIPS 2021
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
ICML 2021
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
EMNLP 2020
Graph-based Nearest Neighbor Search: From Practice to Theory
ICML 2020