Ioannis Panageas
- Accelerating Scientific Research with Gemini: Case Studies and Common Techniques
2026/02/03 by David P. Woodruff, Vincent Cohen-Addad, Lalit Jain +33 · 8 voices · 1 citation
#cs.CL #cs.AI
- Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions
2016/05/02 by Ioannis Panageas, Georgios Piliouras, Panageas, Ioannis +1 · 7 citations
Computer Science · Engineering · Medicine · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Bone and Joint Diseases
- The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
2018/07/11 by Constantinos Daskalakis, Daskalakis, Constantinos, Ioannis Panageas +1 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
- Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
2021/06/03 by Stefanos Leonardos, Will Overman, Leonardos, Stefanos +5 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- On Last-Iterate Convergence Beyond Zero-Sum Games
2022/03/22 by Ioannis Anagnostides, Ioannis Panageas, Anagnostides, Ioannis +5 · 5 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
- On the Analysis of EM for truncated mixtures of two Gaussians
2019/02/19 by Sai Ganesh Nagarajan, Ioannis Panageas, Nagarajan, Sai Ganesh +1 · 2 citations
Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #Control Systems and Identification #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Distribution Estimation and Applications
- Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem
2019/12/09 by Vaggos Chatziafratis, Sai Ganesh Nagarajan, Chatziafratis, Vaggos +5 · 1 citation
Computer Science · Engineering · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Interconnection Networks and Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #VLSI and FPGA Design Techniques
- Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev
2020/10/11 by Xiao Wang, Wang, Xiao, Qi Lei +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Protein Structure and Dynamics #Quantum chaos and dynamical systems
- Efficient Statistics for Sparse Graphical Models from Truncated Samples
2020/06/17 by Arnab Bhattacharyya, Bhattacharyya, Arnab, Rathin Desai +5 · 1 citation
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
2024/10/08 by Fivos Kalogiannis, Kalogiannis, Fivos, Ioannis Panageas +2 · 1 citation
Computer Science · Business, Management and Accounting · Decision Sciences · #Reinforcement Learning in Robotics #Supply Chain and Inventory Management #Game Theory and Applications
- Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
2024/06/15 by Yi Feng, Ping Li, Feng, Yi +5 · 1 citation
Computer Science · Mathematics · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Matrix Theory and Algorithms
- Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
2024/01/17 by Leello Dadi, Ioannis Panageas, Dadi, Leello +7 · 1 citation
Decision Sciences · #Game Theory and Applications #Advanced Bandit Algorithms Research #Auction Theory and Applications
- Efficient Learning of Truncated Boolean Product Distributions: Influence to the Rescue
2026/07/24 by Rohan Chauhan, Ioannis Panageas
#cs.LG #cs.DS #stat.ML