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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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18.8%37.5%56.3%75.0% · Mar 199319922001200920182026
48 results for classic tri-training

The paper evaluates classic tri-training methods for neural semi-supervised learning under domain shift.

problem Difficulty in comparing neural models for domain shift learning.
method Proposes a novel multi-task tri-training method to reduce complexity.
result Classic tri-training with additions outperforms state-of-the-art methods.

New method improves text classification without labeled target data.

problem Improving text classification under domain shift without labeled target data.
method Diversity-based generalization using multi-head attention with diversity constraints.
result Method matches state-of-the-art performance without labeled target data.

Proposes a meta-learning method to improve recommender systems with biased feedback.

problem Learning from biased feedback in recommender systems.
method Asymmetric tri-training framework for meta-learning, using three predictors.
result Minimizes the upper bound of true performance metric, improving robustness to selection bias.

Classical scaling is shown to be optimal under various noisy conditions.

problem Consistency of classical scaling under general noise conditions.
method Established using finite fourth moments of noise, derived convergence rates, and matching minimax lower bounds.
result Classical scaling achieves minimax optimality in recovering true configuration from noisy dissimilarities.

This paper compares classical shadows and direct quantum measurement for efficient information extraction.

problem Efficiently extracting classical information from quantum states with limited classical post-processing.
method Quantitative resource analysis comparing classical shadows and direct quantum measurement.
result An efficiency frontier between classical shadows and direct quantum measurement is identified.

Quantum models simulate classical channels more efficiently, improving transmission rates.

problem Optimizing quantum models to simulate classical channels more efficiently.
method Examining when and how well quantum simulations of classical channels improve upon classical simulations.
result Quantum simulations can improve upon classical simulation rates.

Quantum oracles help identify counterfactuals better than classical ones.

problem Identifying unknown causal parameters in causal models.
method Using quantum oracles to query and identify all causal parameters and counterfactuals.
result Quantum oracles enable identification of all two-way joint counterfactuals and tighter bounds on higher-order counterfactuals.

Study on non-classical generating sets in Fuchsian Schottky groups.

problem Estimating non-classical Schottky structure in discrete subgroups.
method Investigated Fuchsian Schottky groups with non-classical generating sets using Möbius transformations.
result Derived two non-trivial examples of Fuchsian Schottky groups with non-classical generating sets.

Study compares quantum and classical ML in crypto trading, finding hybrid models outperform.

problem Comparing quantum and classical machine learning in crypto trading strategies.
method Backtesting 10 models across multiple crypto assets using classical ML, quantum ML, hybrid models, and transformer models.
result Hybrid quantum models achieve superior performance with 13.99% return and 1.76 Sharpe ratio.

This work shows how to efficiently simulate parts of quantum landscapes using classical computers.

problem Identifying where quantum computers are advantageous and offloading computations.
method Developed a quantum-enhanced classical algorithm to simulate sub-regions of quantum landscapes.
result It is possible to generate a classical surrogate of a sub-region of a quantum landscape.

Study analyzes 3,171 stocks to pick efficient portfolios using quantum and classical solvers.

problem Creating efficient stock portfolios from a large dataset.
method Used classical and quantum solvers to optimize portfolios of 3,171 US stocks.
result Demonstrated the effectiveness of quantum and classical solvers in portfolio optimization.

The paper studies how geometric transformations affect semi-classical operators on specific Lie groups.

problem Analyzing the effects of diffeomorphisms on semi-classical pseudodifferential operators.
method Examined the pull-back of semi-classical pseudodifferential operators by diffeomorphisms preserving the filtration.
result The pull-back of a semi-classical pseudodifferential operator by a Pansu differentiable diffeomorphism has a semi-classical symbol that is expressed in terms of the Pansu differential.

A graphical calculus for microformal morphisms simplifies complex operations in classical and quantum physics.

problem Simplifying operations in classical and quantum microformal morphisms.
method Developed a graphical calculus inspired by Cattaneo-Dherin-Felder's work on formal symplectic groupoids, extended to quantum thick morphisms.
result Infinite series can be written as sums over bipartite trees for both classical and quantum thick morphisms.

This work proposes efficient classical training protocols for IQP circuits to train quantum generative models.

problem Training quantum generative models on industrially relevant probability distributions is challenging due to high computational cost.
method Developed protocols for classical training of IQP circuits, which are hard to sample but have efficient gradient computation.
result Classically trained IQP circuits can efficiently sample from target probability distributions, demonstrating practical quantum advantage.

We show that if a classical knot diagram satisfies a certain combinatorial condition then it is minimal with respect to the number of classical crossings. This statement is proved by using the Kauffman bracket and the construction of atoms and knots.

2005-01-28abs ↗pdf ↗

We prove an upper bound for the evaluation of all classical SU(2) spin networks conjectured by Garoufalidis and van der Veen. This implies one half of the analogue of the volume conjecture which they proposed for classical spin networks. We are also able to obtain the other half, namely, an exact determination of the s…

2009-04-10abs ↗pdf ↗

Non-classical virtual knots may have non-isomorphic upper and lower quandles. We exploit this property to define the quandle difference invariant, which can detect non-classicality by comparing the numbers of homomorphisms into a finite quandle from a virtual knot's upper and lower quandles. The invariants for small-or…

2006-01-02abs ↗pdf ↗

Diffeologies unify infinite-dimensional geometry and PDEs, enhancing classical function spaces.

problem Combining infinite-dimensional geometry and PDEs for optimization problems.
method Review and extension of classical function spaces and mapping spaces.
result Diffeologies provide a unified framework for evolution equations and optimization problems.

Proves existence of classical Neumann problems for Hessian equations in uniformly convex domains.

problem Existence of solutions to Neumann problems for Hessian equations.
method Proving existence through uniformly convex domains and Alexandrov-Fenchel inequalities.
result Existence of classical Neumann problems for Hessian equations in uniformly convex domains.

This paper establishes a correspondence between biquandle and quandle colorings for classical and surface links.

problem Finding refined invariants for classical and surface links using biquandles.
method Explicit one-to-one correspondence between biquandle colorings and quandle colorings.
result Biquandle homotopy invariants and quandle homotopy invariants are equivalent.