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Goutham Rajendran
Goutham Rajendran
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Identifiability of deep generative models without auxiliary information
B Kivva, G Rajendran, P Ravikumar, B Aragam
Advances in Neural Information Processing Systems 35, 15687-15701, 2022
51*2022
Sum-of-squares lower bounds for sherrington-kirkpatrick via planted affine planes
M Ghosh, FG Jeronimo, C Jones, A Potechin, G Rajendran
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
492020
Learning latent causal graphs via mixture oracles
B Kivva, G Rajendran, P Ravikumar, B Aragam
Advances in Neural Information Processing Systems 34, 18087-18101, 2021
422021
Learning linear causal representations from interventions under general nonlinear mixing
S Buchholz, G Rajendran, E Rosenfeld, B Aragam, B Schölkopf, ...
Advances in Neural Information Processing Systems 36, 2024
262024
Sum-of-squares lower bounds for sparse independent set
C Jones, A Potechin, G Rajendran, M Tulsiani, J Xu
2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
262022
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
G Rajendran, B Kivva, M Gao, B Aragam
Advances in Neural Information Processing Systems 34, 18660-18672, 2021
182021
Machinery for proving sum-of-squares lower bounds on certification problems
A Potechin, G Rajendran
arXiv preprint arXiv:2011.04253, 2020
132020
Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis
A Potechin, G Rajendran
Advances in Neural Information Processing Systems 35, 35724-35740, 2022
102022
Concentration of polynomial random matrices via Efron-Stein inequalities
G Rajendran, M Tulsiani
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
92023
Sum-of-squares lower bounds for densest k-subgraph
C Jones, A Potechin, G Rajendran, J Xu
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 84-95, 2023
72023
Analyzing robustness of end-to-end neural models for automatic speech recognition
G Rajendran, W Zou
arXiv preprint arXiv:2208.08509, 2022
42022
Combinatorial optimization via the sum of squares hierarchy
G Rajendran
arXiv preprint arXiv:2208.04374, 2022
42022
An interventional perspective on identifiability in gaussian lti systems with independent component analysis
G Rajendran, P Reizinger, W Brendel, PK Ravikumar
Causal Learning and Reasoning, 41-70, 2024
32024
Nonlinear Random Matrices and Applications to the Sum of Squares Hierarchy
G Rajendran
The University of Chicago, 2022
32022
On the origins of linear representations in large language models
Y Jiang, G Rajendran, P Ravikumar, B Aragam, V Veitch
arXiv preprint arXiv:2403.03867, 2024
22024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
G Rajendran, S Buchholz, B Aragam, B Schölkopf, P Ravikumar
arXiv preprint arXiv:2402.09236, 2024
22024
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