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Fri Dec 02 06:15 AM -- 06:30 AM (PST) None
Welcome and Opening Remarks
Fri Dec 02 06:30 AM -- 07:15 AM (PST) None
Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
Fri Dec 02 07:15 AM -- 08:00 AM (PST) None
Tensor Methods for Nonconvex Optimization.
Coralia Cartis
Fri Dec 02 08:00 AM -- 08:30 AM (PST) None
Coffee Break
Fri Dec 02 08:00 AM -- 08:30 AM (PST) None
Poster Session I
Fri Dec 02 08:30 AM -- 08:45 AM (PST) None
Quartic Polynomial Sub-problem Solutions in Tensor Methods for Nonconvex Optimization
Wenqi Zhu
Fri Dec 02 08:45 AM -- 09:00 AM (PST) None
PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data
Farshed Abdukhakimov
Fri Dec 02 09:00 AM -- 09:15 AM (PST) None
DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang
Fri Dec 02 09:15 AM -- 09:30 AM (PST) None
Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack
Fri Dec 02 09:30 AM -- 09:45 AM (PST) None
Cubic Regularized Quasi-Newton Methods
Klea Ziu
Fri Dec 02 09:45 AM -- 10:00 AM (PST) None
Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization
Kabir Chandrasekher
Fri Dec 02 10:00 AM -- 11:30 AM (PST) None
Lunch Break
Fri Dec 02 11:30 AM -- 12:15 PM (PST) None
Deterministically Constrained Stochastic Optimization
Frank E. Curtis
Fri Dec 02 12:15 PM -- 01:00 PM (PST) None
Low Rank Approximation for Faster Convex Optimization
Madeleine Udell
Fri Dec 02 01:00 PM -- 01:30 PM (PST) None
Coffee Break
Fri Dec 02 01:00 PM -- 02:00 PM (PST) None
Poster Session II
Fri Dec 02 02:00 PM -- 02:45 PM (PST) None
A Fast, Fisher Based Pruning of Transformers without Retraining
Amir Gholami
Fri Dec 02 02:45 PM -- 03:00 PM (PST) None
Closing Remarks
None
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Artem Agafonov · Brahim Erraji · Martin Takac
None
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
[ Poster
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The Trade-offs of Incremental Linearization Algorithms for Nonsmooth Composite Problems
Krishna Pillutla · Vincent Roulet · Sham Kakade · Zaid Harchaoui
[ Poster
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Cubic Regularized Quasi-Newton Methods
Dmitry Kamzolov · Klea Ziu · Artem Agafonov · Martin Takac
[ Poster
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ASDL: A Unified Interface for Gradient Preconditioning in PyTorch
Kazuki Osawa · Satoki Ishikawa · Rio Yokota · Shigang Li · Torsten Hoefler
[ Poster
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PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data
Farshed Abdukhakimov · Chulu Xiang · Dmitry Kamzolov · Robert Gower · Martin Takac
[ Poster
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HesScale: Scalable Computation of Hessian Diagonals
Mohamed Elsayed · Rupam Mahmood
[ Poster
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High-Order Optimization of Gradient Boosted Decision Trees
Jean Pachebat · Sergey IVANOV
[ Poster
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Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack · Simran Kaur · Tanya Marwah · Saurabh Garg · Zachary Lipton
[ Poster
None
How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye
[ Poster
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A Stochastic Conjugate Subgradient Algorithm for Kernelized Support Vector Machines: The Evidence
Di Zhang · Suvrajeet Sen
[ Poster
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Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
[ Poster
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Random-subspace adaptive cubic regularisation method for nonconvex optimisation
Coralia Cartis · Zhen Shao
[ Poster
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang · Jiang Bo · Chang He · Yuntian Jiang · Dongdong Ge · Yinyu Ye
None
Black Box Lie Group Preconditioners for SGD
Xilin Li
[ Poster
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Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity
Yuchen Fang · Sen Na · Mladen Kolar
[ Poster
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Using quadratic equations for overparametrized models
Shuang Li · William Swartworth · Martin Takac · Deanna Needell · Robert Gower
None
On the Global Convergence of the Regularized Generalized Gauss-Newton Algorithm
Vincent Roulet · Maryam Fazel · Siddhartha Srinivasa · Zaid Harchaoui
[ Poster
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Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang · Sen Na · Mladen Kolar
[ Poster
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Effects of momentum scaling for SGD
Dmitry A. Pasechnyuk · Alexander Gasnikov · Martin Takac
[ Poster
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Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov · Xun Qian · Slavomír Hanzely · Mher Safaryan · Peter Richtarik
[ Poster
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Improving Levenberg-Marquardt Algorithm for Neural Networks
Omead Pooladzandi · Yiming Zhou
[ Poster
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Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization
MENGQI LOU · Kabir Chandrasekher · Ashwin Pananjady
[ Poster
None
Quartic Polynomial Sub-problem Solutions in Tensor Methods for Nonconvex Optimization
Wenqi Zhu · Coralia Cartis
[ Poster