Alert button
Picture for Constantinos Daskalakis

Constantinos Daskalakis

Alert button

Tractable Local Equilibria in Non-Concave Games

Add code
Bookmark button
Alert button
Mar 13, 2024
Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Figure 1 for Tractable Local Equilibria in Non-Concave Games
Figure 2 for Tractable Local Equilibria in Non-Concave Games
Figure 3 for Tractable Local Equilibria in Non-Concave Games
Figure 4 for Tractable Local Equilibria in Non-Concave Games
Viaarxiv icon

From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces

Add code
Bookmark button
Alert button
Oct 31, 2023
Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich

Viaarxiv icon

Smooth Nash Equilibria: Algorithms and Complexity

Add code
Bookmark button
Alert button
Sep 21, 2023
Constantinos Daskalakis, Noah Golowich, Nika Haghtalab, Abhishek Shetty

Figure 1 for Smooth Nash Equilibria: Algorithms and Complexity
Viaarxiv icon

Online Learning and Solving Infinite Games with an ERM Oracle

Add code
Bookmark button
Alert button
Jul 10, 2023
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson

Viaarxiv icon

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

Add code
Bookmark button
Alert button
Feb 17, 2023
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis

Figure 1 for Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Figure 2 for Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Figure 3 for Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Figure 4 for Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Viaarxiv icon

SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics

Add code
Bookmark button
Alert button
Feb 07, 2023
Panos Stinis, Constantinos Daskalakis, Paul J. Atzberger

Figure 1 for SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Figure 2 for SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Figure 3 for SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Figure 4 for SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
Viaarxiv icon

EM's Convergence in Gaussian Latent Tree Models

Add code
Bookmark button
Alert button
Nov 23, 2022
Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros

Viaarxiv icon

Learning and Testing Latent-Tree Ising Models Efficiently

Add code
Bookmark button
Alert button
Nov 23, 2022
Davin Choo, Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros

Figure 1 for Learning and Testing Latent-Tree Ising Models Efficiently
Figure 2 for Learning and Testing Latent-Tree Ising Models Efficiently
Figure 3 for Learning and Testing Latent-Tree Ising Models Efficiently
Figure 4 for Learning and Testing Latent-Tree Ising Models Efficiently
Viaarxiv icon

STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games

Add code
Bookmark button
Alert button
Oct 18, 2022
Constantinos Daskalakis, Noah Golowich, Stratis Skoulakis, Manolis Zampetakis

Figure 1 for STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
Figure 2 for STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
Figure 3 for STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
Figure 4 for STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
Viaarxiv icon

Efficient Truncated Linear Regression with Unknown Noise Variance

Add code
Bookmark button
Alert button
Aug 25, 2022
Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Manolis Zampetakis

Figure 1 for Efficient Truncated Linear Regression with Unknown Noise Variance
Figure 2 for Efficient Truncated Linear Regression with Unknown Noise Variance
Figure 3 for Efficient Truncated Linear Regression with Unknown Noise Variance
Viaarxiv icon