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Aukosh Jagannath
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Journal Articles
- 2024
- [j4]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Hardness of Random Optimization Problems for Boolean Circuits, Low-Degree Polynomials, and Langevin Dynamics. SIAM J. Comput. 53(1): 1-46 (2024) - 2023
- [j3]Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath:
Graph Attention Retrospective. J. Mach. Learn. Res. 24: 246:1-246:52 (2023) - 2021
- [j2]Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath:
Online stochastic gradient descent on non-convex losses from high-dimensional inference. J. Mach. Learn. Res. 22: 106:1-106:51 (2021) - 2013
- [j1]Steven Heilman, Aukosh Jagannath, Assaf Naor:
Solution of the Propeller Conjecture in ℝ3. Discret. Comput. Geom. 50(2): 263-305 (2013)
Conference and Workshop Papers
- 2024
- [c7]Gérard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath:
High-dimensional SGD aligns with emerging outlier eigenspaces. ICLR 2024 - 2023
- [c6]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Effects of Graph Convolutions in Multi-layer Networks. ICLR 2023 - [c5]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Optimality of Message-Passing Architectures for Sparse Graphs. NeurIPS 2023 - 2022
- [c4]Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath:
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling. NeurIPS 2022 - 2021
- [c3]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. ICML 2021: 684-693 - 2020
- [c2]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. FOCS 2020: 131-140 - 2012
- [c1]Steven Heilman, Aukosh Jagannath, Assaf Naor:
Solution of the propeller conjecture in R3. STOC 2012: 269-276
Informal and Other Publications
- 2023
- [i13]Aseem Baranwal, Aukosh Jagannath, Kimon Fountoulakis:
Optimality of Message-Passing Architectures for Sparse Graphs. CoRR abs/2305.10391 (2023) - [i12]Gérard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath:
High-dimensional SGD aligns with emerging outlier eigenspaces. CoRR abs/2310.03010 (2023) - [i11]Reza Gheissari, Aukosh Jagannath, Yiming Xu:
Finding planted cliques using Markov chain Monte Carlo. CoRR abs/2311.07540 (2023) - 2022
- [i10]Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath:
Graph Attention Retrospective. CoRR abs/2202.13060 (2022) - [i9]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Effects of Graph Convolutions in Deep Networks. CoRR abs/2204.09297 (2022) - [i8]Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath:
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling. CoRR abs/2206.04030 (2022) - [i7]Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri:
Concentration of the exponential mechanism and differentially private multivariate medians. CoRR abs/2210.06459 (2022) - 2021
- [i6]Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. CoRR abs/2102.06966 (2021) - [i5]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Circuit Lower Bounds for the p-Spin Optimization Problem. CoRR abs/2109.01342 (2021) - 2020
- [i4]Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath:
A classification for the performance of online SGD for high-dimensional inference. CoRR abs/2003.10409 (2020) - [i3]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. CoRR abs/2004.12063 (2020) - 2019
- [i2]David Gamarnik, Aukosh Jagannath, Subhabrata Sen:
The Overlap Gap Property in Principal Submatrix Recovery. CoRR abs/1908.09959 (2019) - 2011
- [i1]Steven Heilman, Aukosh Jagannath, Assaf Naor:
Solution of the propeller conjecture in $\R^3$. CoRR abs/1112.2993 (2011)
Coauthor Index
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