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Bullins, Brian
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1

Higher-Order Methods for Convex-Concave Min-Max Optimizatio..:

Bullins, Brian ; Lai, Kevin A.
SIAM Journal on Optimization.  32 (2022)  3 - p. 2208-2229 , 2022
Link: https://doi.org/10.1137/..
 
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2

Adaptive regularization with cubics on manifolds:

Agarwal, Naman ; Boumal, Nicolas ; Bullins, Brian.
Mathematical Programming.  188 (2020)  1 - p. 85-134 , 2020
Link: https://doi.org/10.1007/..
 
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3

Finding approximate local minima faster than gradient desce..:

, In: Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing,
Agarwal, Naman ; Allen-Zhu, Zeyuan ; Bullins, Brian.. - p. 1195-1199 , 2017
Link: https://dl.acm.org/doi/1..
 
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4

Spectral properties of modularity matrices:

Bolla, Marianna ; Bullins, Brian ; Chaturapruek, Sorathan..
Linear Algebra and its Applications.  473 (2015)  - p. 359-376 , 2015
Link: https://doi.org/10.1016/..
 
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5

Beyond first-order methods for non-convex non-concave min-m..:

Vyas, Abhijeet ; Bullins, Brian
http://arxiv.org/abs/2304.08389.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Federated Composite Saddle Point Optimization:

Bai, Site ; Bullins, Brian
http://arxiv.org/abs/2305.15643.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Optimal Methods for Higher-Order Smooth Monotone Variationa..:

Adil, Deeksha ; Bullins, Brian ; Jambulapati, Arun.
http://arxiv.org/abs/2205.06167.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Variance-Reduced Conservative Policy Iteration:

Agarwal, Naman ; Bullins, Brian ; Singh, Karan
http://arxiv.org/abs/2212.06283.  , 2022
Link: http://arxiv.org/abs/221..
 
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9

Unifying Width-Reduced Methods for Quasi-Self-Concordant Op..:

Adil, Deeksha ; Bullins, Brian ; Sachdeva, Sushant
http://arxiv.org/abs/2107.02432.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

Almost-Linear-Time Weighted ?_p-Norm Solvers in Slightly De..:

Adil, Deeksha ; Bullins, Brian ; Kyng, Rasmus.
doi:10.4230/LIPIcs.ICALP.2021.9.  , 2021
Link: https://doi.org/10.4230/..
 
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11

The Min-Max Complexity of Distributed Stochastic Convex Opt..:

Woodworth, Blake ; Bullins, Brian ; Shamir, Ohad.
http://arxiv.org/abs/2102.01583.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Almost-linear-time weighted ℓp-norm solvers in slightly den..:

Adil, Deeksha ; Bullins, Brian ; Kyng, Rasmus.
info:eu-repo/semantics/altIdentifier/doi/10.4230/LIPIcs.ICALP.2021.9.  , 2021
Link: https://hdl.handle.net/2..
 
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13

A Stochastic Newton Algorithm for Distributed Convex Optimi..:

Bullins, Brian ; Patel, Kumar Kshitij ; Shamir, Ohad..
http://arxiv.org/abs/2110.02954.  , 2021
Link: http://arxiv.org/abs/211..
 
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14

Almost-linear-time Weighted $\ell_p$-norm Solvers in Slight..:

Adil, Deeksha ; Bullins, Brian ; Kyng, Rasmus.
http://arxiv.org/abs/2102.06977.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Is Local SGD Better than Minibatch SGD?:

Woodworth, Blake ; Patel, Kumar Kshitij ; Stich, Sebastian U...
http://arxiv.org/abs/2002.07839.  , 2020
Link: http://arxiv.org/abs/200..
 
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