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38th International Conference on Machine Learning, ICML 2021
Meila, M [szerk.]
;
Zhang, T [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: ML Research Press, Maastricht, Hollandia
2021
Konferencia:
38th International Conference on Machine Learning, ICML 2021 2021-07-18 [Online konferencia, Nemzetközi]
Sorozatok:
Proceedings of Machine Learning Research 2640-3498, 139
Azonosítók
MTMT: 34033380
ISBN:
9781713845065
Teljes dokumentum:
https://proceedings.mlr.press/v139/
Egyéb URL:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-105023586039&partnerID=40&md5=f4e127f8554a4615150987936d0cf521
Támogatások:
MILAB(RRF-2.3.1-21-2022-00004) Támogató: NKFIH
Fejezetek
Aggarwal Abhinav et al. Label Inference Attacks from Log-loss Scores. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Alquier Pierre. Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Arora Raman et al. Dropout: Explicit Forms and Capacity Control. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Axiotis Kyriakos et al. Decomposable Submodular Function Minimization via Maximum Flow. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Bahri Dara et al. Locally Adaptive Label Smoothing for Predictive Churn. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Bai Yunsheng et al. GLSearch: Maximum Common Subgraph Detection via Learning to Search. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Bao Yujia et al. Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Bhattacharyya Chiranjib et al. Finding k in Latent k-Polytope. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Blalock Davis et al. Multiplying Matrices Without Multiplying. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Blum Avrim et al. One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Brandfonbrener David et al. Offline Contextual Bandits with Overparameterized Models. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Brock Andrew et al. High-Performance Large-Scale Image Recognition Without Normalization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Buet-Golfouse Francois. Narrow Margins: Classification, Margins and Fat Tails. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Camilleri Romain et al. High-Dimensional Experimental Design and Kernel Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Camuto Alexander et al. Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Carderera Alejandro et al. Parameter-free Locally Accelerated Conditional Gradients. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Ceylan Ciwan et al. Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Chaibub Neto Elias. Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Chen Xi et al. Adversarial Combinatorial Bandits with General Non-linear Reward Functions. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Chen Xu. Unified Robust Semi-Supervised Variational Autoencoder. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Dadashi Robert et al. Offline Reinforcement Learning with Pseudometric Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Dahiya Yogesh et al. Fixed-Parameter and Approximation Algorithms for PCA with Outliers. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Daneshmand Amir et al. Newton Method over Networks is Fast up to the Statistical Precision. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Dawkins Quinlan et al. Diffusion Source Identification on Networks with Statistical Confidence. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Deng Zhun et al. Toward Better Generalization Bounds with Locally Elastic Stability. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Diakonikolas Ilias et al. Learning Online Algorithms with Distributional Advice. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Diaz Andino Fidel Ernesto et al. Unitary Branching Programs: Learnability and Lower Bounds. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Donhauser Konstantin et al. How rotational invariance of common kernels prevents generalization in high dimensions. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Duan Yaqi et al. Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Ergen Tolga et al. Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Errica Federico et al. Graph Mixture Density Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Esfandiari Yasaman et al. Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Farahmand Amir-massoud et al. PID Accelerated Value Iteration Algorithm. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Fisch Adam et al. Few-shot Conformal Prediction with Auxiliary Tasks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Flaspohler Genevieve et al. Online Learning with Optimism and Delay. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Fontaine Xavier et al. Online A-Optimal Design and Active Linear Regression. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Frerix Thomas et al. Variational Data Assimilation with a Learned Inverse Observation Operator. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Garg Saurabh et al. On Proximal Policy Optimization's Heavy-tailed Gradients. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Garreau Damien et al. What Does LIME Really See in Images?. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Goyal Ankit et al. Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Gupta Chirag et al. Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Hao Botao et al. Bootstrapping Fitted Q-Evaluation for Off-Policy Inference. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Hao Botao et al. Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Heliou Amelie et al. Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Islamov Rustem et al. Distributed Second Order Methods with Fast Rates and Compressed Communication. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Jaegle Andrew et al. Imitation by Predicting Observations. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Jayaram Rajesh et al. In-Database Regression in Input Sparsity Time. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Jin Ying et al. Is Pessimism Provably Efficient for Offline RL?. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Jun Kwang-Sung et al. Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Ju Peizhong et al. On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Kallus Nathan et al. Optimal Policy Evaluation from Multiple Logging Policies. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Kaya Yigitcan et al. When Does Data Augmentation Help With Membership Inference Attacks?. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Kenlay Henry et al. Interpretable Stability Bounds for Spectral Graph Filters. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Kerdreux Thomas et al. Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Khrulkov Valentin et al. Functional Space Analysis of Local GAN Convergence. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Kidger Patrick et al. Neural SDEs as Infinite-Dimensional GANs. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Koh Pang Wei et al. WILDS: A Benchmark of in-the-Wild Distribution Shifts. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Kuchibhotla Arun Kumar et al. Near-Optimal Confidence Sequences for Bounded Random Variables. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Laforgue Pierre et al. Generalization Bounds in the Presence of Outliers: a Median-of-Means Study. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Lancewicki Tal et al. Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Lang Hunter et al. Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch). (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Lazic Nevena et al. Improved Regret Bound and Experience Replay in Regularized Policy Iteration. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Lee Kimin et al. SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Lei Yunwen et al. Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Haoran et al. Mixed Cross Entropy Loss for Neural Machine Translation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Shi et al. Online Unrelated Machine Load Balancing with Predictions Revisited. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Liu Lewis et al. Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Liu Xinwang et al. One Pass Late Fusion Multi-view Clustering. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Liu Yuhan et al. SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Xiaoyu et al. A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Yuhang et al. A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Zeng et al. Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-norm Least Squares Estimator. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Zhong et al. Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Lutter Michael et al. Value Iteration in Continuous Actions, States and Time. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Mao Xueyu et al. Consistent Nonparametric Methods for Network Assisted Covariate Estimation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Ma Xingchen et al. Meta-Cal: Well-controlled Post-hoc Calibration by Ranking. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Meirom Eli A. et al. Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Mellor Joseph et al. Neural Architecture Search without Training. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Menon Aditya Krishna et al. A Statistical Perspective on Distillation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Min Hancheng et al. On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Munteanu Alexander et al. Oblivious Sketching for Logistic Regression. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
My Phan et al. Towards Practical Mean Bounds for Small Samples. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Neiswanger Willie et al. Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Niwa Kenta et al. Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Ozair Sherjil et al. Vector Quantized Models for Planning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Panaganti Kishan et al. Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. x
Radford Alec et al. Learning Transferable Visual Models From Natural Language Supervision. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Ren Jiaxiang et al. Integrated Defense for Resilient Graph Matching. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Rizk Geovani et al. Best Arm Identification in Graphical Bilinear Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Saha Aadirupa et al. Adversarial Dueling Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Sen Rajat et al. Top-k eXtreme Contextual Bandits with Arm Hierarchy. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Sentenac Flore et al. Pure Exploration and Regret Minimization in Matching Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Shah Rutav et al. RRL: Resnet as representation for Reinforcement Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Shen Guangyu et al. Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Shen Jie. On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Shen Jie. Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Song Zhao et al. Fast Sketching of Polynomial Kernels of Polynomial Degree. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Xie Qiaomin et al. Learning While Playing in Mean-Field Games: Convergence and Optimality. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Xie Tengyang et al. Interaction-Grounded Learning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Yang Zhiyong et al. When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Yang Zitong et al. Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Yan Zuoyu et al. Link Prediction with Persistent Homology: An Interactive View. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Yehudai Gilad et al. From Local Structures to Size Generalization in Graph Neural Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
You Xuchen et al. Exponentially Many Local Minima in Quantum Neural Networks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Zhou Tianchen et al. Incentivized Bandit Learning with Self-Reinforcing User Preferences. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Zhu Mingkang et al. Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Zou Difan et al. Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021
Li Shaojie et al. Sharper Generalization Bounds for Clustering. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1-11
Wang Ruosong et al. Instabilities of Offline RL with Pre-Trained Neural Representation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1-13
Xie Tengyang et al. Batch Value-function Approximation with Only Realizability. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1-10
Zanette Andrea. Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1-11
Agarwal Naman et al. Acceleration via Fractal Learning Rate Schedules. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 87-99
Guo Hongyi et al. Decentralized Single-Timescale Actor Critic on Zero-Sum Two-Player Stochastic Games. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. 139
Gyorgy Andras et al. Adapting to Delays and Data in Adversarial Multi-Armed Bandits. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 p. 139
Axiotis K. et al. Decomposable Submodular Function Minimization via Maximum Flow. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 446-456
Axiotis K. et al. Decomposable Submodular Function Minimization via Maximum Flow. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 446-456
Bevilacqua Beatrice et al. Size-Invariant Graph Representations for Graph Classification Extrapolations. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 837-851
Bhaskara Aditya et al. Additive Error Guarantees for Weighted Low Rank Approximation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 874-883
Bodin E. et al. Black-box density function estimation using recursive partitioning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1015-1025
Cai HanQin et al. A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1193-1203
Castiglioni M. et al. Multi-Receiver Online Bayesian Persuasion. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1314-1323
Castiglioni M. et al. Multi-Receiver Online Bayesian Persuasion. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1314-1323
Chaplot D.S. et al. Differentiable Spatial Planning using Transformers. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 1484-1495
Dragomir Radu-Alexandru et al. Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 2815-2825
Dutt Arkopal et al. Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 2914-2925
Guminov S. et al. On a Combination of Alternating Minimization and Nesterov's Momentum. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 3886-3898
Hodgkinson Liam et al. Multiplicative Noise and Heavy Tails in Stochastic Optimization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 4262-4274
Jastrzębski S. et al. Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 4772-4784
Lacotte Jonathan et al. Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 5926-5936
Laturnus S. et al. MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 6021-6031
Suya Fnu et al. Model-Targeted Poisoning Attacks with Provable Convergence. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7001-7010
Suzuki Atsushi et al. Generalization Error Bound for Hyperbolic Ordinal Embedding. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7011-7020
Lu Y. et al. Optimal Complexity in Decentralized Training. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7111-7123
Terjék D.. Moreau-Yosida f-divergences. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7224-7234
Teterwak Piotr et al. Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7235-7245
Tolpin David et al. Probabilistic Programs with Stochastic Conditioning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7325-7335
Upadhyay Jalaj et al. A Framework for Private Matrix Analysis in Sliding Window Model. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7480-7491
Ustimenko Aleksei et al. SGLB: Stochastic Gradient Langevin Boosting. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7502-7511
Vicol Paul et al. Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7565-7577
Wagenmaker Andrew et al. Task-Optimal Exploration in Linear Dynamical Systems. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7654-7664
Wang Jiali et al. Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7721-7729
Wang Yu et al. SG-PALM: a Fast Physically Interpretable Tensor Graphical Model. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7792-7804
Wang Mengfan et al. ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7850-7860
Wang Yunjuan et al. Robust Learning for Data Poisoning Attacks. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7872-7881
Mutny Mojmir et al. No-regret Algorithms for Capturing Events in Poisson Point Processes. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7894-7904
Wang Yutong et al. An Exact Solver for the Weston-Watkins SVM Subproblem. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 7905-7915
Petersen F. et al. Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 8546-8555
Saha Aadirupa et al. Dueling Convex Optimization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 9245-9254
Song C. et al. Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 9824-9834
Song Z. et al. Oblivious Sketching-based Central Path Method for Linear Programming. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 9835-9847
Wu Y. et al. LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 11251-11262
Yoon TaeHo et al. Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 12098-12109
Yuan Honglin et al. Federated Composite Optimization. (2021) Megjelent: 38th International Conference on Machine Learning, ICML 2021 pp. 12253-12266
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