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107 Results

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Poster
Wed 7:30 Towards convergence to Nash equilibria in two-team zero-sum games
Fivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
Tue 7:30 Meta-Learning in Games
Keegan Harris · Ioannis Anagnostides · Gabriele Farina · Mikhail Khodak · Steven Wu · Tuomas Sandholm
Poster
Mon 2:30 Why adversarial training can hurt robust accuracy
Jacob Clarysse · Julia Hörrmann · Fanny Yang
Workshop
Thu 6:40 Machine learning approaches to improve the exchange and correlation functional in Density functional Theory
Marivi Fernandez-Serra
Poster
Tue 2:30 Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng · Hsin-Yi Lin · Kuo-Hsuan Hung · Yu Tsao
Oral
Wed 6:10 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Poster
Wed 7:30 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Poster
Improved Learning-augmented Algorithms for k-means and k-medians Clustering
Thy Nguyen · Anamay Chaturvedi · Huy Nguyen
Poster
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
Chuanhao Li · Huazheng Wang · Mengdi Wang · Hongning Wang
Poster
Agnostic Learning of General ReLU Activation Using Gradient Descent
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu · Yuanzhi Li
Oral
Wed 6:20 Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu · Yuanzhi Li