Sat 6:55 a.m. - 7:00 a.m.
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Welcome Remarks
(
Intro
)
>
SlidesLive Video
|
Courtney Paquette
🔗
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Sat 7:00 a.m. - 7:30 a.m.
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Katya Scheinberg, Stochastic Oracles and Where to Find Them
(
Plenary Speaker
)
>
SlidesLive Video
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Katya Scheinberg
🔗
|
Sat 7:30 a.m. - 8:00 a.m.
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Contributed Talks 1
(
Contributed talks
)
>
SlidesLive Video
|
Courtney Paquette · Tian Li · Guy Kornowski
🔗
|
Sat 8:00 a.m. - 9:00 a.m.
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Poster Session 1
(
Poster Session
)
>
|
35 presenters
Andrew Lowy · Thomas Bonnier · Yiling Xie · Guy Kornowski · Simon Schug · Seungyub Han · Nicolas Loizou · xinwei zhang · Laurent Condat · Tabea E. Röber · Si Yi Meng · Marco Mondelli · Runlong Zhou · Eshaan Nichani · Adrian Goldwaser · Rudrajit Das · Kayhan Behdin · Atish Agarwala · Mukul Gagrani · Gary Cheng · Tian Li · Haoran Sun · Hossein Taheri · Allen Liu · Siqi Zhang · Dmitrii Avdiukhin · Bradley Brown · Miaolan Xie · Junhyung Lyle Kim · Sharan Vaswani · Xinmeng Huang · Ganesh Ramachandra Kini · Angela Yuan · Weiqiang Zheng · Jiajin Li
🔗
|
Sat 9:00 a.m. - 9:30 a.m.
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Contributed Talks 2
(
Contributed talks
)
>
SlidesLive Video
|
Quanquan Gu · Aaron Defazio · Jiajin Li
🔗
|
Sat 9:30 a.m. - 10:00 a.m.
|
Niao He, Simple Fixes for Adaptive Gradient Methods for Nonconvex Min-Max Optimization
(
Plenary Speaker
)
>
SlidesLive Video
|
Niao He
🔗
|
Sat 10:00 a.m. - 12:00 p.m.
|
Lunch
|
🔗
|
Sat 12:00 p.m. - 12:30 p.m.
|
Zico Kolter, Adapt like you train: How optimization at training time affects model finetuning and adaptation
(
Plenary Speaker
)
>
SlidesLive Video
|
J. Zico Kolter
🔗
|
Sat 12:30 p.m. - 1:15 p.m.
|
Contributed Talks 3
(
Contributed talks
)
>
SlidesLive Video
|
Cristóbal Guzmán · Fangshuo Liao · Vishwak Srinivasan · Zhiyuan Li
🔗
|
Sat 1:15 p.m. - 1:45 p.m.
|
Aaron Sidford, Efficiently Minimizing the Maximum Loss
(
Plenary Speaker
)
>
SlidesLive Video
|
Aaron Sidford
🔗
|
Sat 1:45 p.m. - 1:50 p.m.
|
Closing Remarks
(
Closing
)
>
|
Courtney Paquette
🔗
|
Sat 1:50 p.m. - 2:50 p.m.
|
Poster Session 2
(
Poster Session
)
>
|
32 presenters
Jinwuk Seok · Bo Liu · Ryotaro Mitsuboshi · David Martinez-Rubio · Weiqiang Zheng · Ilgee Hong · Chen Fan · Kazusato Oko · Bo Tang · Miao Cheng · Aaron Defazio · Tim G. J. Rudner · Gabriele Farina · Vishwak Srinivasan · Ruichen Jiang · Peng Wang · Jane Lee · Nathan Wycoff · Nikhil Ghosh · Yinbin Han · David Mueller · Liu Yang · Amrutha Varshini Ramesh · Siqi Zhang · Kaifeng Lyu · David Yunis · Kumar Kshitij Patel · Fangshuo Liao · Dmitrii Avdiukhin · Xiang Li · Sattar Vakili · Jiaxin Shi
🔗
|
-
|
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
(
Poster
)
>
link
SlidesLive Video
|
Jiaxin Shi · Lester Mackey
🔗
|
-
|
Data-heterogeneity-aware Mixing for Decentralized Learning
(
Poster
)
>
link
SlidesLive Video
|
Yatin Dandi · Anastasiia Koloskova · Martin Jaggi · Sebastian Stich
🔗
|
-
|
Rieoptax: Riemannian Optimization in JAX
(
Poster
)
>
link
SlidesLive Video
|
Saiteja Utpala · Andi Han · Pratik Kumar Jawanpuria · Bamdev Mishra
🔗
|
-
|
TorchOpt: An Efficient library for Differentiable Optimization
(
Poster
)
>
link
SlidesLive Video
|
Jie Ren · Xidong Feng · Bo Liu · Xuehai Pan · Yao Fu · Luo Mai · Yaodong Yang
🔗
|
-
|
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
(
Poster
)
>
link
|
Tina Behnia · Ganesh Ramachandra Kini · Vala Vakilian · Christos Thrampoulidis
🔗
|
-
|
Rethinking Sharpness-Aware Minimization as Variational Inference
(
Poster
)
>
link
SlidesLive Video
|
Szilvia Ujváry · Zsigmond Telek · Anna Kerekes · Anna Mészáros · Ferenc Huszar
🔗
|
-
|
TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization
(
Poster
)
>
link
|
Xiang Li · Junchi YANG · Niao He
🔗
|
-
|
TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization
(
Oral
)
>
link
SlidesLive Video
|
Xiang Li · Junchi YANG · Niao He
🔗
|
-
|
Toward Understanding Why Adam Converges Faster Than SGD for Transformers
(
Poster
)
>
link
SlidesLive Video
|
Yan Pan · Yuanzhi Li
🔗
|
-
|
Bidirectional Adaptive Communication for Heterogeneous Distributed Learning
(
Poster
)
>
link
|
Dmitrii Avdiukhin · Vladimir Braverman · Nikita Ivkin · Sebastian Stich
🔗
|
-
|
How Sharpness-Aware Minimization Minimizes Sharpness?
(
Poster
)
>
link
|
Kaiyue Wen · Tengyu Ma · Zhiyuan Li
🔗
|
-
|
How Sharpness-Aware Minimization Minimizes Sharpness?
(
Oral
)
>
link
|
Kaiyue Wen · Tengyu Ma · Zhiyuan Li
🔗
|
-
|
Strong Lottery Ticket Hypothesis with $\epsilon$–perturbation
(
Poster
)
>
link
SlidesLive Video
|
Fangshuo Liao · Zheyang Xiong · Anastasios Kyrillidis
🔗
|
-
|
Strong Lottery Ticket Hypothesis with $\epsilon$–perturbation
(
Oral
)
>
link
SlidesLive Video
|
Fangshuo Liao · Zheyang Xiong · Anastasios Kyrillidis
🔗
|
-
|
Optimization for Robustness Evaluation beyond ℓp Metrics
(
Poster
)
>
link
SlidesLive Video
|
Hengyue Liang · Buyun Liang · Ying Cui · Tim Mitchell · Ju Sun
🔗
|
-
|
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
(
Poster
)
>
link
SlidesLive Video
|
Alireza Mousavi-Hosseini · Sejun Park · Manuela Girotti · Ioannis Mitliagkas · Murat Erdogdu
🔗
|
-
|
Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
(
Poster
)
>
link
SlidesLive Video
|
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
🔗
|
-
|
Distributed Online and Bandit Convex Optimization
(
Poster
)
>
link
SlidesLive Video
|
Kumar Kshitij Patel · Aadirupa Saha · Nati Srebro · Lingxiao Wang
🔗
|
-
|
On Convexity and Linear Mode Connectivity in Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
David Yunis · Kumar Kshitij Patel · Pedro Savarese · Gal Vardi · Jonathan Frankle · Matthew Walter · Karen Livescu · Michael Maire
🔗
|
-
|
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
(
Poster
)
>
link
SlidesLive Video
|
Xinmeng Huang · Kun Yuan
🔗
|
-
|
Target-based Surrogates for Stochastic Optimization
(
Poster
)
>
link
SlidesLive Video
|
Jonathan Lavington · Sharan Vaswani · Reza Babanezhad Harikandeh · Mark Schmidt · Nicolas Le Roux
🔗
|
-
|
Why (and When) does Local SGD Generalize Better than SGD?
(
Poster
)
>
link
SlidesLive Video
|
Xinran Gu · Kaifeng Lyu · Longbo Huang · Sanjeev Arora
🔗
|
-
|
Momentum Extragradient is Optimal for Games with Cross-Shaped Spectrum
(
Poster
)
>
link
SlidesLive Video
|
Junhyung Lyle Kim · Gauthier Gidel · Anastasios Kyrillidis · Fabian Pedregosa
🔗
|
-
|
Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound
(
Poster
)
>
link
SlidesLive Video
|
Katya Scheinberg · Miaolan Xie
🔗
|
-
|
ProxSkip for Stochastic Variational Inequalities: A Federated Learning Algorithm for Provable Communication Acceleration
(
Poster
)
>
link
SlidesLive Video
|
Siqi Zhang · Nicolas Loizou
🔗
|
-
|
DIMENSION-REDUCED ADAPTIVE GRADIENT METHOD
(
Poster
)
>
link
SlidesLive Video
|
Jingyang Li · Pan Zhou · Kuangyu Ding · Kim-Chuan Toh · Yinyu Ye
🔗
|
-
|
Fast Convergence of Greedy 2-Coordinate Updates for Optimizing with an Equality Constraint
(
Poster
)
>
link
SlidesLive Video
|
Amrutha Varshini Ramesh · Aaron Mishkin · Mark Schmidt
🔗
|
-
|
Quadratic minimization: from conjugate gradients to an adaptive heavy-ball method with Polyak step-sizes
(
Poster
)
>
link
SlidesLive Video
|
Baptiste Goujaud · Adrien Taylor · Aymeric Dieuleveut
🔗
|
-
|
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
(
Poster
)
>
link
SlidesLive Video
|
Buyun Liang · Tim Mitchell · Ju Sun
🔗
|
-
|
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
(
Poster
)
>
link
SlidesLive Video
|
Liu Yang · Jifan Zhang · Joseph Shenouda · Dimitris Papailiopoulos · Kangwook Lee · Robert Nowak
🔗
|
-
|
Policy gradient finds global optimum of nearly linear-quadratic control systems
(
Poster
)
>
link
SlidesLive Video
|
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
🔗
|
-
|
Relating Regularization and Generalization through the Intrinsic Dimension of Activations
(
Poster
)
>
link
SlidesLive Video
|
Bradley Brown · Jordan Juravsky · Anthony Caterini · Gabriel Loaiza-Ganem
🔗
|
-
|
The Importance of Temperature in Multi-Task Optimization
(
Poster
)
>
link
SlidesLive Video
|
David Mueller · Mark Dredze · Nicholas Andrews
🔗
|
-
|
Network Pruning at Scale: A Discrete Optimization Approach
(
Poster
)
>
link
SlidesLive Video
|
Wenyu Chen · Riade Benbaki · Xiang Meng · Rahul Mazumder
🔗
|
-
|
A Novel Stochastic Gradient Descent Algorithm for LearningPrincipal Subspaces
(
Poster
)
>
link
|
Charline Le Lan · Joshua Greaves · Jesse Farebrother · Mark Rowland · Fabian Pedregosa · Rishabh Agarwal · Marc Bellemare
🔗
|
-
|
Nonsmooth Composite Nonconvex-Concave Minimax Optimization
(
Poster
)
>
SlidesLive Video
|
Jiajin Li · Linglingzhi Zhu · Anthony Man-Cho So
🔗
|
-
|
Decentralized Stochastic Optimization with Client Sampling
(
Poster
)
>
link
SlidesLive Video
|
Ziwei Liu · Anastasiia Koloskova · Martin Jaggi · Tao Lin
🔗
|
-
|
Escaping from Moderately Constrained Saddles
(
Poster
)
>
link
|
Dmitrii Avdiukhin · Grigory Yaroslavtsev
🔗
|
-
|
Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems
(
Poster
)
>
link
SlidesLive Video
|
Siqi Zhang · Yifan Hu · Liang Zhang · Niao He
🔗
|
-
|
Semi-Random Sparse Recovery in Nearly-Linear Time
(
Poster
)
>
link
SlidesLive Video
|
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
🔗
|
-
|
Generalization of Decentralized Gradient Descent with Separable Data
(
Poster
)
>
link
|
Hossein Taheri · Christos Thrampoulidis
🔗
|
-
|
Gradient dynamics of single-neuron autoencoders on orthogonal data
(
Poster
)
>
link
SlidesLive Video
|
Nikhil Ghosh · Spencer Frei · Wooseok Ha · Bin Yu
🔗
|
-
|
A Variable-Coefficient Nuclear Norm Penalty for Low Rank Inference
(
Poster
)
>
link
SlidesLive Video
|
Nathan Wycoff · Ali Arab · Lisa Singh
🔗
|
-
|
Exact Gradient Computation for Spiking Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Jane Lee · Saeid Haghighatshoar · Amin Karbasi
🔗
|
-
|
Linear Convergence Analysis of Neural Collapse with Unconstrained Features
(
Poster
)
>
link
SlidesLive Video
|
Peng Wang · Huikang Liu · Can Yaras · Laura Balzano · Qing Qu
🔗
|
-
|
The Solution Path of the Group Lasso
(
Poster
)
>
link
SlidesLive Video
|
Aaron Mishkin · Mert Pilanci
🔗
|
-
|
Conditional gradient-based method for bilevel optimization with convex lower-level problem
(
Poster
)
>
link
SlidesLive Video
|
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
🔗
|
-
|
Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods
(
Poster
)
>
link
SlidesLive Video
|
Vishwak Srinivasan · Ashia Wilson
🔗
|
-
|
A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Zonghao Chen · Xupeng Shi · Tim G. J. Rudner · Qixuan Feng · Weizhong Zhang · Tong Zhang
🔗
|
-
|
Annealed Training for Combinatorial Optimization on Graphs
(
Poster
)
>
link
SlidesLive Video
|
Haoran Sun · Etash Guha · Hanjun Dai
🔗
|
-
|
Clairvoyant Regret Minimization: Equivalence with Nemirovski’s Conceptual Prox Method and Extension to General Convex Games
(
Poster
)
>
link
SlidesLive Video
|
Gabriele Farina · Christian Kroer · Chung-Wei Lee · Haipeng Luo
🔗
|
-
|
Parameter Free Dual Averaging: Optimizing Lipschitz Functions in a Single Pass
(
Poster
)
>
link
SlidesLive Video
|
Aaron Defazio · Konstantin Mishchenko
🔗
|
-
|
Differentially Private Adaptive Optimization with Delayed Preconditioners
(
Poster
)
>
link
SlidesLive Video
|
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
🔗
|
-
|
Differentially Private Adaptive Optimization with Delayed Preconditioners
(
Oral
)
>
link
|
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
🔗
|
-
|
A Light-speed Linear Program Solver for Personalized Recommendation with Diversity Constraints
(
Poster
)
>
link
SlidesLive Video
|
Miao Cheng · Haoyue Wang · Aman Gupta · Rahul Mazumder · Sathiya Selvaraj · Kinjal Basu
🔗
|
-
|
adaStar: A Method for Adapting to Interpolation
(
Poster
)
>
link
|
Gary Cheng · John Duchi
🔗
|
-
|
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
(
Poster
)
>
link
SlidesLive Video
|
Bo Tang · Elias Khalil
🔗
|
-
|
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
(
Poster
)
>
link
SlidesLive Video
|
Kaiwen Zhou · Anthony Man-Cho So · James Cheng
🔗
|
-
|
Neural DAG Scheduling via One-Shot Priority Sampling
(
Poster
)
>
link
|
Wonseok Jeon · Mukul Gagrani · Burak Bartan · Weiliang Zeng · Harris Teague · Piero Zappi · Christopher Lott
🔗
|
-
|
Stochastic Gradient Estimator for Differentiable NAS
(
Poster
)
>
link
|
Libin Hou · Linyuan Wang · Qi Peng · Bin Yan
🔗
|
-
|
Near-optimal decentralized algorithms for network dynamic optimization
(
Poster
)
>
link
SlidesLive Video
|
Judy Gan · Yashodhan Kanoria · Xuan Zhang
🔗
|
-
|
A Second-order Regression Model Shows Edge of Stability Behavior
(
Poster
)
>
link
SlidesLive Video
|
Fabian Pedregosa · Atish Agarwala · Jeffrey Pennington
🔗
|
-
|
Online Min-max Optimization: Nonconvexity, Nonstationarity, and Dynamic Regret
(
Poster
)
>
link
SlidesLive Video
|
Yu Huang · Yuan Cheng · Yingbin Liang · Longbo Huang
🔗
|
-
|
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization
(
Poster
)
>
link
SlidesLive Video
|
Kayhan Behdin · Qingquan Song · Aman Gupta · Sathiya Selvaraj · David Durfee · Ayan Acharya · Rahul Mazumder
🔗
|
-
|
Reducing Communication in Nonconvex Federated Learning with a Novel Single-Loop Variance Reduction Method
(
Poster
)
>
link
SlidesLive Video
|
Kazusato Oko · Shunta Akiyama · Tomoya Murata · Taiji Suzuki
🔗
|
-
|
Fast Convergence of Random Reshuffling under Interpolation and the Polyak-Łojasiewicz Condition
(
Poster
)
>
link
SlidesLive Video
|
Chen Fan · Christos Thrampoulidis · Mark Schmidt
🔗
|
-
|
ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
(
Poster
)
>
link
|
Jiawei Zhao · Florian Schaefer · Anima Anandkumar
🔗
|
-
|
Differentially Private Federated Learning with Normalized Updates
(
Poster
)
>
link
SlidesLive Video
|
Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon
🔗
|
-
|
Adaptive Inexact Sequential Quadratic Programming via Iterative Randomized Sketching
(
Poster
)
>
link
SlidesLive Video
|
Ilgee Hong · Sen Na · Mladen Kolar
🔗
|
-
|
Enhanced Index Tracking via Differentiable Assets Sorting
(
Poster
)
>
link
|
Yuanyuan Liu · Yongxin Yang
🔗
|
-
|
Learning deep neural networks by iterative linearisation
(
Poster
)
>
link
SlidesLive Video
|
Adrian Goldwaser · Hong Ge
🔗
|
-
|
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
(
Poster
)
>
link
|
Alex Damian · Eshaan Nichani · Jason Lee
🔗
|
-
|
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
(
Poster
)
>
link
SlidesLive Video
|
Runlong Zhou · Yuandong Tian · YI WU · Simon Du
🔗
|
-
|
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
(
Poster
)
>
link
SlidesLive Video
|
Tong Yang · Michael Jordan · Tatjana Chavdarova
🔗
|
-
|
Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
(
Poster
)
>
link
SlidesLive Video
|
Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli
🔗
|
-
|
A Stochastic Prox-Linear Method for CVaR Minimization
(
Poster
)
>
link
SlidesLive Video
|
Si Yi Meng · Vasileios Charisopoulos · Robert Gower
🔗
|
-
|
Counterfactual Explanations Using Optimization With Constraint Learning
(
Poster
)
>
link
SlidesLive Video
|
Donato Maragno · Tabea E. Röber · Ilker Birbil
🔗
|
-
|
Accelerated Single-Call Methods for Constrained Min-Max Optimization
(
Poster
)
>
link
SlidesLive Video
|
Yang Cai · Weiqiang Zheng
🔗
|
-
|
Accelerated Algorithms for Monotone Inclusion and Constrained Nonconvex-Nonconcave Min-Max Optimization
(
Poster
)
>
link
SlidesLive Video
|
Yang Cai · Argyris Oikonomou · Weiqiang Zheng
🔗
|
-
|
Accelerated Riemannian Optimization: Handling Constraints to Bound Geometric Penalties
(
Poster
)
>
link
SlidesLive Video
|
David Martinez-Rubio · Sebastian Pokutta
🔗
|
-
|
Gradient Descent: Robustness to Adversarial Corruption
(
Poster
)
>
link
SlidesLive Video
|
Fu-Chieh Chang · Farhang Nabiei · Pei-Yuan Wu · Alexandru Cioba · Sattar Vakili · Alberto Bernacchia
🔗
|
-
|
Boosting as Frank-Wolfe
(
Poster
)
>
link
SlidesLive Video
|
Ryotaro Mitsuboshi · Kohei Hatano · Eiji Takimoto
🔗
|
-
|
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
(
Poster
)
>
link
SlidesLive Video
|
Laurent Condat · Peter Richtarik
🔗
|
-
|
A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
(
Poster
)
>
link
SlidesLive Video
|
xinwei zhang · Nicola Elia · Mingyi Hong
🔗
|
-
|
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
(
Poster
)
>
link
SlidesLive Video
|
Aleksandr Beznosikov · Eduard Gorbunov · Hugo Berard · Nicolas Loizou
🔗
|
-
|
Optimization using Parallel Gradient Evaluations on Multiple Parameters
(
Poster
)
>
link
SlidesLive Video
|
Yash Chandak · Shiv Shankar · Venkata Gandikota · Philip Thomas · Arya Mazumdar
🔗
|
-
|
An Accuracy Guaranteed Online Solver for Learning in Dynamic Feature Space
(
Poster
)
>
link
SlidesLive Video
|
Diyang Li · Bin Gu
🔗
|
-
|
Adaptive Methods for Nonconvex Continual Learning
(
Poster
)
>
link
SlidesLive Video
|
Seungyub Han · Yeongmo Kim · Taehyun Cho · Jungwoo Lee
🔗
|
-
|
Random initialisations performing above chance and how to find them
(
Poster
)
>
link
|
Frederik Benzing · Simon Schug · Robert Meier · Johannes von Oswald · Yassir Akram · Nicolas Zucchet · Laurence Aitchison · Angelika Steger
🔗
|
-
|
On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
(
Poster
)
>
link
SlidesLive Video
|
Guy Kornowski · Ohad Shamir
🔗
|
-
|
On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
(
Oral
)
>
link
|
Guy Kornowski · Ohad Shamir
🔗
|
-
|
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
(
Poster
)
>
link
SlidesLive Video
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Yiling Xie · Yiling Luo · Xiaoming Huo
🔗
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BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
(
Poster
)
>
link
SlidesLive Video
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Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu
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-
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On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly-Communicating MDPs
(
Poster
)
>
link
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Yi Wan · Richard Sutton
🔗
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-
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Optimizing the Performative Risk under Weak Convexity Assumptions
(
Poster
)
>
link
SlidesLive Video
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Yulai Zhao
🔗
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-
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Quantization based Optimization : Alternative Stochastic Approximation of Global Optimization
(
Poster
)
>
link
SlidesLive Video
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Jinwuk Seok · Changsik Cho
🔗
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-
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Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks
(
Poster
)
>
link
SlidesLive Video
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Thomas Bonnier
🔗
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Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
(
Poster
)
>
link
SlidesLive Video
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Andrew Lowy · Meisam Razaviyayn
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Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods
(
Oral
)
>
link
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Vishwak Srinivasan · Ashia Wilson
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