conftrace_

Mathematics

6,356 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Graph Theory (1,461) Statistics (1,367) Probability (1,250) Geometry (791) Information Theory (548) Linear Algebra (534) Discrete Mathematics (489) Numerical Analysis (381) Signal Processing (114) Algebra (74) Differential Equations (54) Topology (49) Functional Analysis (35) Logic (16)

Papers per year

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489

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Papers (including subtopics)

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians ICML 2024 The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models NeurIPS 2024 The Privacy Power of Correlated Noise in Decentralized Learning ICML 2024 The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024 The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 The sub-band cepstrum as a tool for locating local spectral regions of phonetic sensitivity: A first attempt with multi-speaker vowel data Interspeech 2024 The Transformation Logics IJCAI 2024 Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers ECCV 2024 Tight Bounds for Local Glivenko-Cantelli ALT 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Top-K ranking with a monotone adversary COLT 2024 TopoGCL: Topological Graph Contrastive Learning AAAI 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024 To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models UAI 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards a Similarity-adjusted Surprisal Theory EMNLP 2024 Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis EMNLP 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024