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Bohdan Kivva
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2020 – today
- 2024
- [j3]Bohdan Kivva
:
On the automorphism groups of rank-4 primitive coherent configurations. J. Comb. Theory B 164: 245-298 (2024) - 2022
- [c5]Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam:
Identifiability of deep generative models without auxiliary information. NeurIPS 2022 - [i5]Bohdan Kivva
, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam:
Identifiability of deep generative models under mixture priors without auxiliary information. CoRR abs/2206.10044 (2022) - 2021
- [j2]Bohdan Kivva
:
On the spectral gap and the automorphism group of distance-regular graphs. J. Comb. Theory B 149: 161-197 (2021) - [j1]Bohdan Kivva
:
A characterization of Johnson and Hamming graphs and proof of Babai's conjecture. J. Comb. Theory B 151: 339-374 (2021) - [c4]László Babai
, Bohdan Kivva
:
Matrix Rigidity Depends on the Target Field. CCC 2021: 41:1-41:26 - [c3]Bohdan Kivva
:
Improved Upper Bounds for the Rigidity of Kronecker Products. MFCS 2021: 68:1-68:18 - [c2]Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam:
Learning latent causal graphs via mixture oracles. NeurIPS 2021: 18087-18101 - [c1]Goutham Rajendran, Bohdan Kivva, Ming Gao, Bryon Aragam:
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families. NeurIPS 2021: 18660-18672 - [i4]Bohdan Kivva:
Improved upper bounds for the rigidity of Kronecker products. CoRR abs/2103.05631 (2021) - [i3]Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam:
Learning latent causal graphs via mixture oracles. CoRR abs/2106.15563 (2021) - [i2]Goutham Rajendran, Bohdan Kivva, Ming Gao, Bryon Aragam:
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families. CoRR abs/2110.04719 (2021) - 2020
- [i1]Bohdan Kivva, Aaron Potechin:
Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS. CoRR abs/2011.09416 (2020)
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last updated on 2024-06-10 21:23 CEST by the dblp team
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