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08/09/2023
AI4GCC – Track 3: Consumption and the Challenges of Multi-Agent RL
The AI4GCC competition presents a bold step forward in the direction of ...
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05/30/2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity
Most learning algorithms in machine learning rely on gradient descent to...
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05/17/2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Certified defenses against adversarial attacks offer formal guarantees o...
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04/23/2023
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
The Frank-Wolfe (FW) method is a popular approach for solving optimizati...
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04/14/2023
Performative Prediction with Neural Networks
Performative prediction is a framework for learning models that influenc...
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02/09/2023
Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples
Deep generative models have demonstrated the ability to generate complex...
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11/09/2022
Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum
The extragradient method has recently gained increasing attention, due t...
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10/31/2022
Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
We provide a novel first-order optimization algorithm for bilinearly-cou...
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10/09/2022
Dissecting adaptive methods in GANs
Adaptive methods are a crucial component widely used for training genera...
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09/27/2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
Computing the Jacobian of the solution of an optimization problem is a c...
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07/14/2022
Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
This is the Proceedings of the ICML Expressive Vocalization (ExVo) Compe...
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06/25/2022
Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms
We describe our approach for the generative emotional vocal burst task (...
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06/21/2022
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Real-world competitive games, such as chess, go, or StarCraft II, rely o...
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06/20/2022
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime
The recently developed average-case analysis of optimization methods all...
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06/17/2022
Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization
We consider the smooth convex-concave bilinearly-coupled saddle-point pr...
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06/09/2022
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
The Strong Lottery Ticket Hypothesis (SLTH) stipulates the existence of ...
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06/01/2022
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Byzantine-robustness has been gaining a lot of attention due to the grow...
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05/03/2022
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
The ICML Expressive Vocalization (ExVo) Competition is focused on unders...
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04/16/2022
Beyond L1: Faster and Better Sparse Models with skglm
We propose a new fast algorithm to estimate any sparse generalized linea...
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11/16/2021
Stochastic Extragradient: General Analysis and Improved Rates
The Stochastic Extragradient (SEG) method is one of the most popular alg...
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11/04/2021
Generating Diverse Realistic Laughter for Interactive Art
We propose an interactive art project to make those rendered invisible b...
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10/20/2021
Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks
We theoretically analyze the Feedback Alignment (FA) algorithm, an effic...
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10/08/2021
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Extragradient method (EG) Korpelevich [1976] is one of the most popular ...
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10/08/2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
Strategic diversity is often essential in games: in multi-player games, ...
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06/30/2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Two of the most prominent algorithms for solving unconstrained smooth ga...
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06/30/2021
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging
We study the stochastic bilinear minimax optimization problem, presentin...
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04/08/2021
A single gradient step finds adversarial examples on random two-layers neural networks
Daniely and Schacham recently showed that gradient descent finds adversa...
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03/02/2021
Online Adversarial Attacks
Adversarial attacks expose important vulnerabilities of deep learning mo...
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07/01/2020
Adversarial Example Games
The existence of adversarial examples capable of fooling trained neural ...
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04/20/2020
Real World Games Look Like Spinning Tops
This paper investigates the geometrical properties of real world games (...
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02/14/2020
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
Adversarial training, a special case of multi-objective optimization, is...
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01/02/2020
Accelerating Smooth Games by Manipulating Spectral Shapes
We use matrix iteration theory to characterize acceleration in smooth ga...
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07/09/2019
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent
Gradient descent is arguably one of the most popular online optimization...
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06/17/2019
Lower Bounds and Conditioning of Differentiable Games
Many recent machine learning tools rely on differentiable game formulati...
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06/13/2019
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games
We consider differentiable games: multi-objective minimization problems,...
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06/11/2019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Generative adversarial networks have been very successful in generative ...
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05/28/2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
A recent strategy to circumvent the exploding and vanishing gradient pro...
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05/24/2019
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Recent works have shown that stochastic gradient descent (SGD) achieves ...
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04/30/2019
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
When optimizing over-parameterized models, such as deep neural networks,...
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04/18/2019
Reducing Noise in GAN Training with Variance Reduced Extragradient
Using large mini-batches when training generative adversarial networks (...
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07/12/2018
Negative Momentum for Improved Game Dynamics
Games generalize the optimization paradigm by introducing different obje...
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04/09/2018
Frank-Wolfe Splitting via Augmented Lagrangian Method
Minimizing a function over an intersection of convex sets is an importan...
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04/06/2018
Adaptive Three Operator Splitting
We propose and analyze a novel adaptive step size variant of the Davis-Y...
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02/28/2018
A Variational Inequality Perspective on Generative Adversarial Nets
Stability has been a recurrent issue in training generative adversarial ...
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08/08/2017
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
Generative modeling of high dimensional data like images is a notoriousl...
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10/25/2016
