Constantinos Daskalakis

Constantinos Daskalakis

Massachusetts Institute of Technology

H-index: 56

North America-United States

About Constantinos Daskalakis

Constantinos Daskalakis, With an exceptional h-index of 56 and a recent h-index of 40 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of theoretical computer science, economics, probability theory, learning, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data

Tractable Local Equilibria in Non-Concave Games

Consistent diffusion models: Mitigating sampling drift by learning to be consistent

Stay-on-the-ridge: Guaranteed convergence to local minimax equilibrium in nonconvex-nonconcave games

Smooth nash equilibria: Algorithms and complexity

SDYN-GANs: Adversarial learning methods for multistep generative models for general order stochastic dynamics

Learning and Testing Latent-Tree Ising Models Efficiently

The complexity of markov equilibrium in stochastic games

Constantinos Daskalakis Information

University

Position

Professor of Computer Science

Citations(all)

10420

Citations(since 2020)

6026

Cited By

6931

hIndex(all)

56

hIndex(since 2020)

40

i10Index(all)

115

i10Index(since 2020)

100

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Constantinos Daskalakis Skills & Research Interests

theoretical computer science

economics

probability theory

learning

statistics

Top articles of Constantinos Daskalakis

Title

Journal

Author(s)

Publication Date

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data

arXiv preprint arXiv:2404.10177

Giannis Daras

Alexandros G Dimakis

Constantinos Daskalakis

2024/3/20

Tractable Local Equilibria in Non-Concave Games

arXiv preprint arXiv:2403.08171

Yang Cai

Constantinos Daskalakis

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2024/3/13

Consistent diffusion models: Mitigating sampling drift by learning to be consistent

Advances in Neural Information Processing Systems

Giannis Daras

Yuval Dagan

Alex Dimakis

Constantinos Daskalakis

2024/2/13

Stay-on-the-ridge: Guaranteed convergence to local minimax equilibrium in nonconvex-nonconcave games

Constantinos Daskalakis

Noah Golowich

Stratis Skoulakis

Emmanouil Zampetakis

2023/7/12

Smooth nash equilibria: Algorithms and complexity

arXiv preprint arXiv:2309.12226

Constantinos Daskalakis

Noah Golowich

Nika Haghtalab

Abhishek Shetty

2023/9/21

SDYN-GANs: Adversarial learning methods for multistep generative models for general order stochastic dynamics

arXiv preprint arXiv:2302.03663

Panos Stinis

Constantinos Daskalakis

Paul J Atzberger

2023/2/7

Learning and Testing Latent-Tree Ising Models Efficiently

Vardis Kandiros

Constantinos Daskalakis

Yuval Dagan

Davin Choo

2023/7/12

The complexity of markov equilibrium in stochastic games

Constantinos Daskalakis

Noah Golowich

Kaiqing Zhang

2023/7/12

Sequential mechanisms with ex post individual rationality

Operations Research

Itai Ashlagi

Constantinos Daskalakis

Nima Haghpanah

2023/1

What makes a good fisherman? linear regression under self-selection bias

Yeshwanth Cherapanamjeri

Constantinos Daskalakis

Andrew Ilyas

Manolis Zampetakis

2023/6/2

Online learning and solving infinite games with an erm oracle

Angelos Assos

Idan Attias

Yuval Dagan

Constantinos Daskalakis

Maxwell K Fishelson

2023/7/12

From external to swap regret 2.0: An efficient reduction and oblivious adversary for large action spaces

arXiv preprint arXiv:2310.19786

Yuval Dagan

Constantinos Daskalakis

Maxwell Fishelson

Noah Golowich

2023/10/30

On Local Equilibrium in Non-Concave Games

Yang Cai

Constantinos Costis Daskalakis

Haipeng Luo

Chen-Yu Wei

Weiqiang Zheng

2023/10/13

Recommender systems meet mechanism design

Yang Cai

Constantinos Daskalakis

2022/7/12

Fast rates for nonparametric online learning: from realizability to learning in games

Constantinos Daskalakis

Noah Golowich

2022/6/9

Learning in auctions: Regret is hard, envy is easy

Games and Economic Behavior

Constantinos Daskalakis

Vasilis Syrgkanis

2022/7/1

Non-concave games: A challenge for game theory’s next 100 years

Cowles Preprints

Constantinos Daskalakis

2022/9/17

EM’s convergence in Gaussian latent tree models

Yuval Dagan

Vardis Kandiros

Constantinos Daskalakis

2022/6/28

Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games

Ioannis Anagnostides

Constantinos Daskalakis

Gabriele Farina

Maxwell Fishelson

Noah Golowich

...

2022/6/9

Equilibrium Computation, Deep Learning, and Multi-Agent Reinforcement Learning (Invited Talk).

Constantinos Daskalakis

2022

See List of Professors in Constantinos Daskalakis University(Massachusetts Institute of Technology)

Co-Authors

H-index: 131
Christos H PAPADIMITRIOU

Christos H PAPADIMITRIOU

Columbia University in the City of New York

H-index: 60
Elchanan Mossel

Elchanan Mossel

Massachusetts Institute of Technology

H-index: 47
Ilias Diakonikolas

Ilias Diakonikolas

University of Wisconsin-Madison

H-index: 39
Gregory Valiant

Gregory Valiant

Stanford University

H-index: 30
Paul Goldberg

Paul Goldberg

University of Oxford

H-index: 30
Jayadev Acharya

Jayadev Acharya

Cornell University

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