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Spotlight
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Tue 11:50
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When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang
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Spotlight
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Wed 8:25
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Diversified Adversarial Attacks based on Conjugate Gradient Method
Keiichiro Yamamura · Haruki Sato · Nariaki Tateiwa · Nozomi Hata · Toru Mitsutake · Issa Oe · Hiroki Ishikura · Katsuki Fujisawa
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Spotlight
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Tue 11:45
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Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Sebastian Ament · Carla Gomes
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Poster
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Tue 15:30
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Online Active Regression
Cheng Chen · Yi Li · Yiming Sun
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Spotlight
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Thu 10:50
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Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
Nathan Kallus · Xiaojie Mao · Kaiwen Wang · Zhengyuan Zhou
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Poster
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Tue 15:30
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Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding · Chen-Yu Wei · Kaiqing Zhang · Mihailo Jovanovic
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Spotlight
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Wed 13:45
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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
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Oral
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Thu 10:30
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UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos
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Spotlight
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Tue 11:25
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Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
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Spotlight
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Wed 8:55
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Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis
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Expo Talk Panel
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Sun 9:55
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Discrete optimization with GNNs
Anton Tsitsulin
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Poster
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Wed 15:30
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Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
Frederik Benzing
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