ICML 2022 Accepted Papers
The full list of 1,228 papers accepted at ICML 2022 (International Conference on Machine Learning). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
Spotlight: 1,110Oral: 118
- Label Ranking through Nonparametric RegressionOral9 citations
- Massively Parallel $k$-Means Clustering for Perturbation Resilient InstancesSpotlight9 citations
- MemSR: Training Memory-efficient Lightweight Model for Image Super-ResolutionSpotlight9 citations
- Metric-Fair Active LearningSpotlight9 citations
- On the Convergence of Inexact Predictor-Corrector Methods for Linear ProgrammingOral9 citations
- Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential RewardsSpotlight9 citations
- PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationSpotlight9 citations
- Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement LearningSpotlight9 citations
- Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph ClusteringSpotlight9 citations
- Principled Knowledge Extrapolation with GANsSpotlight9 citations
- Spectral Representation of Robustness Measures for Optimization Under Input UncertaintySpotlight9 citations
- Supervised Off-Policy RankingSpotlight9 citations
- Thompson Sampling for Robust Transfer in Multi-Task BanditsSpotlight9 citations
- Translating Robot Skills: Learning Unsupervised Skill Correspondences Across RobotsSpotlight9 citations
- UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate GuaranteesOral9 citations
- UniRank: Unimodal Bandit Algorithms for Online RankingOral9 citations
- Adaptive Accelerated (Extra-)Gradient Methods with Variance ReductionSpotlight8 citations
- Adversarial Vulnerability of Randomized EnsemblesSpotlight8 citations
- Analysis of Stochastic Processes through Replay BuffersSpotlight8 citations
- Asymptotically-Optimal Gaussian Bandits with Side ObservationsSpotlight8 citations
- Bayesian Continuous-Time Tucker DecompositionOral8 citations
- Bayesian Nonparametrics for Offline Skill DiscoverySpotlight8 citations
- Bit Prioritization in Variational Autoencoders via Progressive CodingSpotlight8 citations
- Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation LearningSpotlight8 citations
- Closed-Form Diffeomorphic Transformations for Time Series AlignmentSpotlight8 citations
- Deep Reference Priors: What is the best way to pretrain a model?Spotlight8 citations
- Fast Lossless Neural Compression with Integer-Only Discrete FlowsSpotlight8 citations
- Generalized Beliefs for Cooperative AISpotlight8 citations
- Global Optimization NetworksSpotlight8 citations
- Hessian-Free High-Resolution Nesterov Acceleration For SamplingSpotlight8 citations
- Interactive Inverse Reinforcement Learning for Cooperative GamesSpotlight8 citations
- Metric-Fair Classifier DerandomizationSpotlight8 citations
- Minimax M-estimation under Adversarial ContaminationSpotlight8 citations
- Minimum Cost Intervention Design for Causal Effect IdentificationOral8 citations
- Multirate Training of Neural NetworksSpotlight8 citations
- Nonparametric Sparse Tensor Factorization with Hierarchical Gamma ProcessesSpotlight8 citations
- On the Finite-Time Performance of the Knowledge Gradient AlgorithmSpotlight8 citations
- Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling BanditsSpotlight8 citations
- Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy OptimizationSpotlight8 citations
- Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guaranteesSpotlight8 citations
- Tackling covariate shift with node-based Bayesian neural networksOral8 citations
- The Geometry of Robust Value FunctionsSpotlight8 citations
- The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time NetworksSpotlight8 citations
- Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical PointsSpotlight8 citations
- Training Discrete Deep Generative Models via Gapped Straight-Through EstimatorSpotlight8 citations
- Variational Inference for Infinitely Deep Neural NetworksSpotlight8 citations
- A Difference Standardization Method for Mutual Transfer LearningSpotlight7 citations
- A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed GraphsSpotlight7 citations
- AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail ProblemsSpotlight7 citations
- Agnostic Learnability of Halfspaces via Logistic LossOral7 citations
- Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessOral7 citations
- Counterfactual Transportability: A Formal ApproachSpotlight7 citations
- Data-Efficient Double-Win Lottery Tickets from Robust Pre-trainingSpotlight7 citations
- Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA StorageSpotlight7 citations
- Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced RepresentationsSpotlight7 citations
- Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical ImagesSpotlight7 citations
- Efficient Learning of CNNs using Patch Based FeaturesSpotlight7 citations
- Generating Distributional Adversarial Examples to Evade Statistical DetectorsSpotlight7 citations
- Gradient Based ClusteringSpotlight7 citations
- Hindering Adversarial Attacks with Implicit Neural RepresentationsSpotlight7 citations
- Improved StyleGAN-v2 based Inversion for Out-of-Distribution ImagesSpotlight7 citations
- Input Dependent Sparse Gaussian ProcessesSpotlight7 citations
- Markov Chain Monte Carlo for Continuous-Time Switching Dynamical SystemsSpotlight7 citations
- Nonparametric Involutive Markov Chain Monte CarloOral7 citations
- On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPsSpotlight7 citations
- Online Balanced Experimental DesignSpotlight7 citations
- Optimal Clustering with Noisy Queries via Multi-Armed BanditSpotlight7 citations
- Task-aware Privacy Preservation for Multi-dimensional DataSpotlight7 citations
- The Complexity of k-Means Clustering when Little is KnownSpotlight7 citations
- The Infinite Contextual Graph Markov ModelSpotlight7 citations
- Thompson Sampling for (Combinatorial) Pure ExplorationSpotlight7 citations
- Universal and data-adaptive algorithms for model selection in linear contextual banditsSpotlight7 citations
- Universality of Winning Tickets: A Renormalization Group PerspectiveSpotlight7 citations
- A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory ResourcesSpotlight6 citations
- A Regret Minimization Approach to Multi-Agent ControlSpotlight6 citations
- An Analytical Update Rule for General Policy OptimizationOral6 citations
- BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric RegressionOral6 citations
- Bayesian Deep Embedding Topic Meta-LearnerSpotlight6 citations
- Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial DefenseSpotlight6 citations
- Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural NetworksSpotlight6 citations
- Deep Network Approximation in Terms of Intrinsic ParametersSpotlight6 citations
- Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical ModelsSpotlight6 citations
- Efficient Representation Learning via Adaptive Context PoolingSpotlight6 citations
- Feature selection using e-valuesSpotlight6 citations
- Global Optimization of K-Center ClusteringSpotlight6 citations
- Gradient-Free Method for Heavily Constrained Nonconvex OptimizationSpotlight6 citations
- Identifiability Conditions for Domain AdaptationSpotlight6 citations
- Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked SystemsSpotlight6 citations
- Interactive Correlation Clustering with Existential Cluster ConstraintsSpotlight6 citations
- Investigating Generalization by Controlling Normalized MarginSpotlight6 citations
- Learning from a Learning User for Optimal RecommendationsSpotlight6 citations
- Log-Euclidean Signatures for Intrinsic Distances Between Unaligned DatasetsSpotlight6 citations
- Measuring Representational Robustness of Neural Networks Through Shared InvariancesOral6 citations
- Neurocoder: General-Purpose Computation Using Stored Neural ProgramsSpotlight6 citations
- Nonparametric Factor Trajectory Learning for Dynamic Tensor DecompositionSpotlight6 citations
- On Convergence of Gradient Descent Ascent: A Tight Local AnalysisSpotlight6 citations
- Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-trainingSpotlight6 citations
- Private optimization in the interpolation regime: faster rates and hardness resultsSpotlight6 citations
- Prototype Based Classification from Hierarchy to FairnessSpotlight6 citations
- Prototype-Anchored Learning for Learning with Imperfect AnnotationsSpotlight6 citations
- Scalable Deep Gaussian Markov Random Fields for General GraphsSpotlight6 citations
- Simultaneous Graph Signal Clustering and Graph LearningSpotlight6 citations
- Sketching Algorithms and Lower Bounds for Ridge RegressionSpotlight6 citations
- Spatial-Channel Token Distillation for Vision MLPsSpotlight6 citations
- Stabilizing Q-learning with Linear Architectures for Provable Efficient LearningSpotlight6 citations
- Steerable 3D Spherical NeuronsSpotlight6 citations
- Strategic RepresentationSpotlight6 citations
- Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian ProcessesSpotlight6 citations
- A query-optimal algorithm for finding counterfactualsSpotlight5 citations
- Bregman Power k-Means for Clustering Exponential Family DataSpotlight5 citations
- Congested Bandits: Optimal Routing via Short-term ResetsSpotlight5 citations
- Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward LearningSpotlight5 citations
- Disentangling Disease-related Representation from Obscure for Disease PredictionSpotlight5 citations
- Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active QueriesSpotlight5 citations
- Exploring and Exploiting Hubness Priors for High-Quality GAN Latent SamplingSpotlight5 citations
- Generalized Leverage Scores: Geometric Interpretation and ApplicationsSpotlight5 citations
- How to Fill the Optimum Set? Population Gradient Descent with Harmless DiversitySpotlight5 citations
- Implicit Regularization with Polynomial Growth in Deep Tensor FactorizationSpotlight5 citations
- Instance Dependent Regret Analysis of Kernelized BanditsSpotlight5 citations
- Lazy Estimation of Variable Importance for Large Neural NetworksSpotlight5 citations
- Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient DescentSpotlight5 citations
- Multiclass learning with margin: exponential rates with no bias-variance trade-offSpotlight5 citations
- Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial TimeSpotlight5 citations
- On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated GamesSpotlight5 citations
- Popular decision tree algorithms are provably noise tolerantSpotlight5 citations
- Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial RobustnessSpotlight5 citations
- Scalable MCMC Sampling for Nonsymmetric Determinantal Point ProcessesOral5 citations
- Sublinear-Time Clustering Oracle for Signed GraphsOral5 citations
- The Algebraic Path Problem for Graph MetricsSpotlight5 citations
- The Teaching Dimension of Regularized Kernel LearnersSpotlight5 citations
- Towards Uniformly Superhuman Autonomy via Subdominance MinimizationSpotlight5 citations
- Uncertainty Modeling in Generative Compressed SensingSpotlight5 citations
- Variational Inference with Locally Enhanced Bounds for Hierarchical ModelsSpotlight5 citations
- (Non-)Convergence Results for Predictive Coding NetworksSpotlight4 citations
- A Functional Information Perspective on Model InterpretationSpotlight4 citations
- A Temporal-Difference Approach to Policy Gradient EstimationSpotlight4 citations
- Cooperative Online Learning in Stochastic and Adversarial MDPsOral4 citations
- Coordinated Double Machine LearningSpotlight4 citations
- Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding AlgorithmSpotlight4 citations
- Easy Variational Inference for Categorical Models via an Independent Binary ApproximationSpotlight4 citations
- Efficient Approximate Inference for Stationary Kernel on Frequency DomainSpotlight4 citations
- Fourier Learning with Cyclical DataSpotlight4 citations
- Importance Weighted Kernel Bayes’ RuleSpotlight4 citations
- Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling ComplexitySpotlight4 citations
- Invariant Ancestry SearchSpotlight4 citations
- Least Squares Estimation using Sketched Data with Heteroskedastic ErrorsSpotlight4 citations
- Multi-slots Online Matching with High EntropySpotlight4 citations
- N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh DeformationsSpotlight4 citations
- Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest PathSpotlight4 citations
- On the Effects of Artificial Data ModificationSpotlight4 citations
- One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point ProcessesSpotlight4 citations
- Optimal Estimation of Policy Gradient via Double Fitted IterationSpotlight4 citations
- Order Constraints in Optimal TransportSpotlight4 citations
- RUMs from Head-to-Head ContestsSpotlight4 citations
- Revisiting the Effects of Stochasticity for Hamiltonian SamplersSpotlight4 citations
- Ripple Attention for Visual Perception with Sub-quadratic ComplexitySpotlight4 citations
- Robustness in Multi-Objective Submodular Optimization: a Quantile ApproachSpotlight4 citations
- Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-RuppertSpotlight4 citations
- Streaming Algorithms for Support-Aware HistogramsSpotlight4 citations
- Understanding Robust Generalization in Learning Regular LanguagesSpotlight4 citations
- What Dense Graph Do You Need for Self-Attention?Spotlight4 citations
- ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGDSpotlight3 citations
- Active Nearest Neighbor Regression Through Delaunay RefinementSpotlight3 citations
- ActiveHedge: Hedge meets Active LearningSpotlight3 citations
- Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration ComplexitySpotlight3 citations
- Certified Adversarial Robustness Under the Bounded Support SetSpotlight3 citations
- Coin Flipping Neural NetworksSpotlight3 citations
- Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game SignaturesSpotlight3 citations
- Cross-Space Active Learning on Graph Convolutional NetworksSpotlight3 citations
- Differentially Private Maximal Information CoefficientsSpotlight3 citations
- EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement LearningSpotlight3 citations
- Nested BanditsSpotlight3 citations
- Neural Inverse Transform SamplerSpotlight3 citations
- Parametric Visual Program Induction with Function ModularizationSpotlight3 citations
- PoF: Post-Training of Feature Extractor for Improving GeneralizationSpotlight3 citations
- Random Gegenbauer Features for Scalable Kernel MethodsOral3 citations
- Rethinking Fano’s Inequality in Ensemble LearningSpotlight3 citations
- SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac SignalsSpotlight3 citations
- Streaming Inference for Infinite Feature ModelsSpotlight3 citations
- Towards Theoretical Analysis of Transformation Complexity of ReLU DNNsSpotlight3 citations
- Variational On-the-Fly PersonalizationSpotlight3 citations
- A Convergent and Dimension-Independent Min-Max Optimization AlgorithmOral2 citations
- A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace SamplingSpotlight2 citations
- A Resilient Distributed Boosting AlgorithmSpotlight2 citations
- A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization AlgorithmsSpotlight2 citations
- Adversarial Attack and Defense for Non-Parametric Two-Sample TestsSpotlight2 citations
- Attentional Meta-learners for Few-shot Polythetic ClassificationSpotlight2 citations
- Constants Matter: The Performance Gains of Active LearningSpotlight2 citations
- Decomposing Temporal High-Order Interactions via Latent ODEsSpotlight2 citations
- Discrete Tree Flows via Tree-Structured PermutationsSpotlight2 citations
- Distributionally-Aware Kernelized Bandit Problems for Risk AversionSpotlight2 citations
- Equivariant Priors for compressed sensing with unknown orientationSpotlight2 citations
- Extracting Latent State Representations with Linear Dynamics from Rich ObservationsSpotlight2 citations
- Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and SnapshotsSpotlight2 citations
- Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence MinimizationSpotlight2 citations
- Neural Network Poisson Models for Behavioural and Neural Spike Train DataSpotlight2 citations
- Nonparametric Embeddings of Sparse High-Order Interaction EventsSpotlight2 citations
- On Non-local Convergence Analysis of Deep Linear NetworksSpotlight2 citations
- Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit FeedbackSpotlight2 citations
- Scalable Computation of Causal BoundsSpotlight2 citations
- Scaling Structured Inference with RandomizationSpotlight2 citations
- Variational Feature Pyramid NetworksSpotlight2 citations
- A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix EstimationSpotlight1 citations
- Actor-Critic based Improper Reinforcement LearningSpotlight1 citations
- Approximate Frank-Wolfe Algorithms over Graph-structured Support SetsSpotlight1 citations
- Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance ComplexitySpotlight1 citations
- Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum OptimizationSpotlight1 citations
- Exact Learning of Preference Structure: Single-peaked Preferences and BeyondSpotlight1 citations
- Forward Operator Estimation in Generative Models with Kernel Transfer OperatorsSpotlight1 citations
- Iterative Double Sketching for Faster Least-Squares OptimizationSpotlight1 citations
- Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)Spotlight1 citations
- Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic AnalysisSpotlight1 citations
- Measuring dissimilarity with diffeomorphism invarianceSpotlight1 citations
- Modeling Structure with Undirected Neural NetworksSpotlight1 citations
- Quantification and Analysis of Layer-wise and Pixel-wise Information DiscardingSpotlight1 citations
- TSPipe: Learn from Teacher Faster with PipelinesSpotlight1 citations
- A Parametric Class of Approximate Gradient Updates for Policy OptimizationSpotlight
- Analyzing and Mitigating Interference in Neural Architecture SearchSpotlight
- Branching Reinforcement LearningSpotlight
- Breaking the $\sqrtT$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear BanditsSpotlight
- Centroid Approximation for Bootstrap: Improving Particle Quality at InferenceSpotlight
- CerDEQ: Certifiable Deep Equilibrium ModelSpotlight
- PAC-Bayesian Bounds on Rate-Efficient ClassifiersSpotlight
- Residual-Based Sampling for Online Outlier-Robust PCASpotlight
- Set Based Stochastic SubsamplingSpotlight
- TURF: Two-Factor, Universal, Robust, Fast Distribution Learning AlgorithmSpotlight
- Understanding Dataset Difficulty with $\mathcal{V}$-Usable InformationOral
- Unsupervised Detection of Contextualized Embedding Bias with Application to IdeologySpotlight
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