Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Dec 6, 2020 Classification General Classification
Code Code Available 1Bi-level Score Matching for Learning Energy-based Latent Variable Models Oct 15, 2020 Rolling Shutter Correction Stochastic Optimization
Code Code Available 1Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization Sep 28, 2020 Stochastic Optimization
Code Code Available 1Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions Aug 19, 2020 reinforcement-learning Reinforcement Learning
Code Code Available 1Stochastic Optimization Forests Aug 17, 2020 Decision Making Stochastic Optimization
Code Code Available 1Randomized Automatic Differentiation Jul 20, 2020 Stochastic Optimization Variational Inference
Code Code Available 1A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning Jun 19, 2020 Federated Learning Stochastic Optimization
Code Code Available 1Personalized Federated Learning with Moreau Envelopes Jun 16, 2020 Diversity Federated Learning
Code Code Available 1Stochastic Optimization for Performative Prediction Jun 12, 2020 Prediction Stochastic Optimization
Code Code Available 1Kernel Distributionally Robust Optimization Jun 12, 2020 Stochastic Optimization
Code Code Available 1Quadruply Stochastic Gaussian Processes Jun 4, 2020 Gaussian Processes regression
Code Code Available 1ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Jun 1, 2020 BIG-bench Machine Learning Second-order methods
Code Code Available 1An Analysis of the Adaptation Speed of Causal Models May 18, 2020 Meta-Learning Stochastic Optimization
Code Code Available 1Distributionally Robust Neural Networks May 1, 2020 L2 Regularization Natural Language Inference
Code Code Available 1Progressive Identification of True Labels for Partial-Label Learning Feb 19, 2020 Partial Label Learning Stochastic Optimization
Code Code Available 1PolyFold: an interactive visual simulator for distance-based protein folding Feb 14, 2020 Protein Folding Protein Structure Prediction
Code Code Available 1Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization Feb 13, 2020 Stochastic Optimization
Code Code Available 1PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Feb 13, 2020 Gaussian Processes Generalization Bounds
Code Code Available 1Self-Directed Online Machine Learning for Topology Optimization Feb 4, 2020 BIG-bench Machine Learning Stochastic Optimization
Code Code Available 1ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Nov 24, 2019 reinforcement-learning Reinforcement Learning
Code Code Available 1Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Nov 20, 2019 Domain Generalization Natural Language Inference
Code Code Available 1Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Oct 29, 2019 Federated Learning Privacy Preserving
Code Code Available 1On the Variance of the Adaptive Learning Rate and Beyond Aug 8, 2019 image-classification Image Classification
Code Code Available 1Lookahead Optimizer: k steps forward, 1 step back Jul 19, 2019 Image Classification Machine Translation
Code Code Available 1ADMM for Efficient Deep Learning with Global Convergence May 31, 2019 Deep Learning Stochastic Optimization
Code Code Available 1Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks May 27, 2019 General Classification image-classification
Code Code Available 1Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Apr 1, 2019 Question Answering Stochastic Optimization
Code Code Available 1Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Feb 11, 2019 Bayesian Inference Deep Learning
Code Code Available 1Agnostic Federated Learning Feb 1, 2019 Cloud Computing Domain Adaptation
Code Code Available 1Learning concise representations for regression by evolving networks of trees Jul 3, 2018 Disentanglement regression
Code Code Available 1Spectral Inference Networks: Unifying Deep and Spectral Learning Jun 6, 2018 Atari Games Bilevel Optimization
Code Code Available 1Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Apr 11, 2018 Machine Translation Stochastic Optimization
Code Code Available 1Averaging Weights Leads to Wider Optima and Better Generalization Mar 14, 2018 Image Classification Stochastic Optimization
Code Code Available 1Stochastic Hyperparameter Optimization through Hypernetworks Feb 26, 2018 BIG-bench Machine Learning Hyperparameter Optimization
Code Code Available 1Shampoo: Preconditioned Stochastic Tensor Optimization Feb 26, 2018 Stochastic Optimization
Code Code Available 1Training Deep Networks without Learning Rates Through Coin Betting May 22, 2017 Stochastic Optimization
Code Code Available 1Online Learning Rate Adaptation with Hypergradient Descent Mar 14, 2017 Hyperparameter Optimization Stochastic Optimization
Code Code Available 1Deep Generalized Canonical Correlation Analysis Feb 8, 2017 Representation Learning Stochastic Optimization
Code Code Available 1SGDR: Stochastic Gradient Descent with Warm Restarts Aug 13, 2016 EEG Electroencephalogram (EEG)
Code Code Available 1Revisiting Distributed Synchronous SGD Apr 4, 2016 Stochastic Optimization
Code Code Available 1Second-Order Stochastic Optimization for Machine Learning in Linear Time Feb 12, 2016 BIG-bench Machine Learning Second-order methods
Code Code Available 1Variational Inference: A Review for Statisticians Jan 4, 2016 Stochastic Optimization Variational Inference
Code Code Available 1Optimizing Neural Networks with Kronecker-factored Approximate Curvature Mar 19, 2015 Stochastic Optimization
Code Code Available 1Adam: A Method for Stochastic Optimization Dec 22, 2014 Stochastic Optimization
Code Code Available 1First-order methods for stochastic and finite-sum convex optimization with deterministic constraints Jun 25, 2025 Stochastic Optimization
— Unverified 0Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters Jun 13, 2025 Stochastic Optimization
— Unverified 0The Sample Complexity of Parameter-Free Stochastic Convex Optimization Jun 12, 2025 Few-Shot Learning Model Selection
— Unverified 0Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery Jun 12, 2025 Age Estimation Overall - Test
— Unverified 0"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended) Jun 11, 2025 Diversity Q-Learning
— Unverified 0Distribution free M-estimation May 28, 2025 Learning Theory Stochastic Optimization
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