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Dmitrii Avdiukhin
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2020 – today
- 2024
- [c9]Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev, Grigory Yaroslavtsev:
Approximation Scheme for Weighted Metric Clustering via Sherali-Adams. AAAI 2024: 7926-7934 - [c8]Noga Alon, Dmitrii Avdiukhin, Dor Elboim, Orr Fischer, Grigory Yaroslavtsev:
Optimal Sample Complexity of Contrastive Learning. ICLR 2024 - 2023
- [c7]Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza:
Tree Learning: Optimal Sample Complexity and Algorithms. AAAI 2023: 6701-6708 - [c6]Dmitrii Avdiukhin, Grigory Yaroslavtsev:
HOUDINI: Escaping from Moderately Constrained Saddles. IJCAI 2023: 3442-3450 - [i8]Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza:
Tree Learning: Optimal Algorithms and Sample Complexity. CoRR abs/2302.04492 (2023) - [i7]Noga Alon, Dmitrii Avdiukhin, Dor Elboim, Orr Fischer, Grigory Yaroslavtsev:
Optimal Sample Complexity of Contrastive Learning. CoRR abs/2312.00379 (2023) - 2022
- [i6]Dmitrii Avdiukhin, Grigory Yaroslavtsev:
HOUDINI: Escaping from Moderately Constrained Saddles. CoRR abs/2205.13753 (2022) - 2021
- [c5]Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin:
Objective-Based Hierarchical Clustering of Deep Embedding Vectors. AAAI 2021: 9055-9063 - [c4]Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan:
Federated Learning under Arbitrary Communication Patterns. ICML 2021: 425-435 - [c3]Dmitrii Avdiukhin, Grigory Yaroslavtsev:
Escaping Saddle Points with Compressed SGD. NeurIPS 2021: 10273-10284 - [i5]Dmitrii Avdiukhin, Grigory Yaroslavtsev:
Escaping Saddle Points with Compressed SGD. CoRR abs/2105.10090 (2021) - 2020
- [c2]Grigory Yaroslavtsev, Samson Zhou, Dmitrii Avdiukhin:
"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack. AISTATS 2020: 3263-3274 - [i4]Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin:
Objective-Based Hierarchical Clustering of Deep Embedding Vectors. CoRR abs/2012.08466 (2020)
2010 – 2019
- 2019
- [j1]Dmitrii Avdiukhin, Sergey Pupyrev, Grigory Yaroslavtsev:
Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent. Proc. VLDB Endow. 12(8): 906-919 (2019) - [c1]Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou:
Adversarially Robust Submodular Maximization under Knapsack Constraints. KDD 2019: 148-156 - [i3]Dmitrii Avdiukhin, Sergey Pupyrev, Grigory Yaroslavtsev:
Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent. CoRR abs/1902.03522 (2019) - [i2]Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou:
Adversarially Robust Submodular Maximization under Knapsack Constraints. CoRR abs/1905.02367 (2019) - [i1]Dmitrii Avdiukhin, Grigory Yaroslavtsev, Samson Zhou:
"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack. CoRR abs/1910.05646 (2019)
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last updated on 2024-07-30 20:46 CEST by the dblp team
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